hackajob is collaborating with Just Eat to connect them with exceptional professionals for this role. Hungry for a challenge? That's good, because at Just Eat (JET) we have abundant opportunity, or, as we say, everything is on the table. We are a leading global online food delivery marketplace. Our tech ecosystem connects millions of active customers with hundreds of thousands of connected partners in countries across the globe. Our mission? To empower every food moment around the world, whether it's through customer service, coding or couriers. About this role As the Senior Team Lead for Data Science - Logistics Estimations, you will be the strategic leader responsible for maximizing the impact of our predictive engine on the global delivery network. Your primary focus will be providing vision, strategic oversight, and leadership to a fully experienced team of Data Scientists specializing in Estimated Time of Arrival (ETA) prediction and other critical logistics estimations. This is a strategic leadership role where your focus is on defining data science solutions, collaborating on the roadmap, driving business outcomes, and expertly managing and developing your team. Experience in model development and deployment is essential for providing effective technical guidance and strategy to the team. Your core mission is to elevate the accuracy of pre-purchase and post-purchase estimated delivery time models by translating business performance challenges into data science solutions. Location: Berlin, London or Amsterdam office with 3 days in the office and 2 days working from home Reporting to: Data Science Manager The Key Ingredients of the roleStrategic Leadership & Outcome Ownership (Approx. 75%) Team Leadership & People Management: Lead, manage, and scale a high-performing team of Data Scientists through mentorship, coaching, and performance management. Foster a collaborative and results-driven team culture. Drive Strategic Solutions: Own the team's contribution to defining logistics estimation solutions, ensuring direct alignment with critical company objectives and the broader business strategy. You will champion data science innovation ideas and partner closely with Product Management (PM) to ensure work is prioritized based on business opportunities. You will proactively manage dependencies across the cross-functional team. This includes continuous collaboration with Machine Learning (ML) and Backend Engineers, particularly for post-purchase Estimated Time of Arrival (ETA) implementation. Communicate the team's direction and impact to senior stakeholders. Drive Business Impact: Take ownership of key logistics KPIs, particularly overall ETA accuracy across the customer journey. Guide the team's focus on the highest-value initiatives and ensure data science moves in a data-driven direction. The DSTL partners closely with the Product Manager to advise and influence the strategic prioritization of work. Business Root Cause Analysis (RCA) & Solution Strategy: Drive deep analysis to uncover the root causes and underlying business drivers of accuracy gaps in ETA models. This includes diagnosing operational friction points (e.g., courier re-assignments, restaurant preparation delays) that impact model performance. Strategic Planning: Translate RCA findings into concrete, actionable plans and conceptual designs for incorporating new features or models to mitigate these business-driven inaccuracies. Stakeholder Communication: Act as the primary interface between the Data Science team and the wider audience (Product, Operations, Engineering). Expertly translate complex data insights and machine learning concepts into clear, actionable business insights for non-technical audiences. Technical Guidance & Conceptual Design (Approx. 25%) Conceptual Model Design: Focus on the conceptual design and validation strategy for new predictive features and models. Define what the model needs to achieve and how it should be validated. Technical Guidance & Review: Serve as the senior technical expert, guiding architectural decisions for prediction models and maintaining high standards through rigorous design discussions and model reviews. MLE Partnership: Partner closely with Machine Learning Engineers (MLEs), who own the deployment and scaling processes, to transition robust model designs and thoroughly documented algorithmic logic for production implementation. Insight Generation: Guide the team in deep-dive analysis of large-scale geospatial and real-time data to translate findings into actionable modeling recommendations. What You'll Bring to the Table A Master's degree or PhD in Data Science, Computer Science, Statistics, or a related quantitative field. Proven, extensive experience in leadership and people management, with a demonstrated ability to mentor, guide, and develop Data Scientists. Prior hands-on experience developing, deploying, and maintaining machine learning models in a corporate environment. This experience is crucial for providing effective strategic and architectural guidance. Advanced conceptual proficiency in data science and machine learning methodologies, ideally with experience in logistics, geospatial analysis, and ETA prediction or routing problems. Experience with deep learning is considered a plus. Demonstrated experience in root-cause analysis of complex production model performance issues and the ability to translate those findings into effective business and technical solutions. Strong understanding of the model lifecycle and best practices, including testing, code reviews, and monitoring. Exceptional communication and stakeholder management skills, with the ability to influence technical peers and non-technical business leaders. At JET, this is how we play Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. Being the best at what we do isn't just about delivering on our strategy. It's a competition for something incredibly valuable - our customers' choice. Every time a customer decides where to order, they're picking a side. At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers' loyalty, again and again. Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we're building a customer-first culture which enables us to stay one step ahead of the competition. Inclusion, Diversity & Belonging No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. What else are we delivering? Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET journeys. Are you ready to join the team? Apply now!
Jul 29, 2026
Full time
hackajob is collaborating with Just Eat to connect them with exceptional professionals for this role. Hungry for a challenge? That's good, because at Just Eat (JET) we have abundant opportunity, or, as we say, everything is on the table. We are a leading global online food delivery marketplace. Our tech ecosystem connects millions of active customers with hundreds of thousands of connected partners in countries across the globe. Our mission? To empower every food moment around the world, whether it's through customer service, coding or couriers. About this role As the Senior Team Lead for Data Science - Logistics Estimations, you will be the strategic leader responsible for maximizing the impact of our predictive engine on the global delivery network. Your primary focus will be providing vision, strategic oversight, and leadership to a fully experienced team of Data Scientists specializing in Estimated Time of Arrival (ETA) prediction and other critical logistics estimations. This is a strategic leadership role where your focus is on defining data science solutions, collaborating on the roadmap, driving business outcomes, and expertly managing and developing your team. Experience in model development and deployment is essential for providing effective technical guidance and strategy to the team. Your core mission is to elevate the accuracy of pre-purchase and post-purchase estimated delivery time models by translating business performance challenges into data science solutions. Location: Berlin, London or Amsterdam office with 3 days in the office and 2 days working from home Reporting to: Data Science Manager The Key Ingredients of the roleStrategic Leadership & Outcome Ownership (Approx. 75%) Team Leadership & People Management: Lead, manage, and scale a high-performing team of Data Scientists through mentorship, coaching, and performance management. Foster a collaborative and results-driven team culture. Drive Strategic Solutions: Own the team's contribution to defining logistics estimation solutions, ensuring direct alignment with critical company objectives and the broader business strategy. You will champion data science innovation ideas and partner closely with Product Management (PM) to ensure work is prioritized based on business opportunities. You will proactively manage dependencies across the cross-functional team. This includes continuous collaboration with Machine Learning (ML) and Backend Engineers, particularly for post-purchase Estimated Time of Arrival (ETA) implementation. Communicate the team's direction and impact to senior stakeholders. Drive Business Impact: Take ownership of key logistics KPIs, particularly overall ETA accuracy across the customer journey. Guide the team's focus on the highest-value initiatives and ensure data science moves in a data-driven direction. The DSTL partners closely with the Product Manager to advise and influence the strategic prioritization of work. Business Root Cause Analysis (RCA) & Solution Strategy: Drive deep analysis to uncover the root causes and underlying business drivers of accuracy gaps in ETA models. This includes diagnosing operational friction points (e.g., courier re-assignments, restaurant preparation delays) that impact model performance. Strategic Planning: Translate RCA findings into concrete, actionable plans and conceptual designs for incorporating new features or models to mitigate these business-driven inaccuracies. Stakeholder Communication: Act as the primary interface between the Data Science team and the wider audience (Product, Operations, Engineering). Expertly translate complex data insights and machine learning concepts into clear, actionable business insights for non-technical audiences. Technical Guidance & Conceptual Design (Approx. 25%) Conceptual Model Design: Focus on the conceptual design and validation strategy for new predictive features and models. Define what the model needs to achieve and how it should be validated. Technical Guidance & Review: Serve as the senior technical expert, guiding architectural decisions for prediction models and maintaining high standards through rigorous design discussions and model reviews. MLE Partnership: Partner closely with Machine Learning Engineers (MLEs), who own the deployment and scaling processes, to transition robust model designs and thoroughly documented algorithmic logic for production implementation. Insight Generation: Guide the team in deep-dive analysis of large-scale geospatial and real-time data to translate findings into actionable modeling recommendations. What You'll Bring to the Table A Master's degree or PhD in Data Science, Computer Science, Statistics, or a related quantitative field. Proven, extensive experience in leadership and people management, with a demonstrated ability to mentor, guide, and develop Data Scientists. Prior hands-on experience developing, deploying, and maintaining machine learning models in a corporate environment. This experience is crucial for providing effective strategic and architectural guidance. Advanced conceptual proficiency in data science and machine learning methodologies, ideally with experience in logistics, geospatial analysis, and ETA prediction or routing problems. Experience with deep learning is considered a plus. Demonstrated experience in root-cause analysis of complex production model performance issues and the ability to translate those findings into effective business and technical solutions. Strong understanding of the model lifecycle and best practices, including testing, code reviews, and monitoring. Exceptional communication and stakeholder management skills, with the ability to influence technical peers and non-technical business leaders. At JET, this is how we play Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. Being the best at what we do isn't just about delivering on our strategy. It's a competition for something incredibly valuable - our customers' choice. Every time a customer decides where to order, they're picking a side. At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers' loyalty, again and again. Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we're building a customer-first culture which enables us to stay one step ahead of the competition. Inclusion, Diversity & Belonging No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. What else are we delivering? Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET journeys. Are you ready to join the team? Apply now!
Graduate/Junior LabVIEW Engineer 30,000 - 38,000 + Training + Private Healthcare + 33 Days Holiday + Benefits Gloucester Are you a recent graduate or a junior with a background in software engineering, computer science, automation or robotics? Do you want to start your career working with LabVIEW and develop specialist skills in automation and control systems? On offer is a fantastic opportunity to join a well-established engineering company that delivers bespoke software and hardware solutions across industries such as aerospace, defence, petrochemical, manufacturing, automation and telecommunications. With a reputation for innovation and quality, they provide tailored training and development to help graduates progress quickly into professional engineering roles. As a Graduate/Junior LabVIEW Engineer, you will work alongside highly skilled programming engineers, gaining hands-on training in LabVIEW and other development software. You will be given exposure to real projects, learning how to program and integrate complex machinery, and supporting the development of automation and test systems that serve clients worldwide. This is a great opportunity for a graduate who is motivated to learn, keen to develop technical expertise, and excited by the chance to build a career working on cutting-edge automation projects with long-term support and progression. The role: Graduate/Junior LabVIEW Engineer Hands-on training in LabVIEW and other development tools Programming and small project tasks under supervision Exposure to control, automation and test system development Long-term technical development and progression opportunities The person: Degree in Computer Science, Software Engineering, Automation Engineering, Robotics or related subject University modules/projects in control systems, robotics, automation, LabVIEW or C++ Strong interest in industrial automation and control technology Eligible to work in the UK Reference Number: BBBH - BBBH(phone number removed) To apply for this role or to be considered for further roles, please click "Apply Now" or contact Rise Technical Recruitment. Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set. We are an equal opportunities employer and welcome applications from all suitable candidates. Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.
Jul 29, 2026
Full time
Graduate/Junior LabVIEW Engineer 30,000 - 38,000 + Training + Private Healthcare + 33 Days Holiday + Benefits Gloucester Are you a recent graduate or a junior with a background in software engineering, computer science, automation or robotics? Do you want to start your career working with LabVIEW and develop specialist skills in automation and control systems? On offer is a fantastic opportunity to join a well-established engineering company that delivers bespoke software and hardware solutions across industries such as aerospace, defence, petrochemical, manufacturing, automation and telecommunications. With a reputation for innovation and quality, they provide tailored training and development to help graduates progress quickly into professional engineering roles. As a Graduate/Junior LabVIEW Engineer, you will work alongside highly skilled programming engineers, gaining hands-on training in LabVIEW and other development software. You will be given exposure to real projects, learning how to program and integrate complex machinery, and supporting the development of automation and test systems that serve clients worldwide. This is a great opportunity for a graduate who is motivated to learn, keen to develop technical expertise, and excited by the chance to build a career working on cutting-edge automation projects with long-term support and progression. The role: Graduate/Junior LabVIEW Engineer Hands-on training in LabVIEW and other development tools Programming and small project tasks under supervision Exposure to control, automation and test system development Long-term technical development and progression opportunities The person: Degree in Computer Science, Software Engineering, Automation Engineering, Robotics or related subject University modules/projects in control systems, robotics, automation, LabVIEW or C++ Strong interest in industrial automation and control technology Eligible to work in the UK Reference Number: BBBH - BBBH(phone number removed) To apply for this role or to be considered for further roles, please click "Apply Now" or contact Rise Technical Recruitment. Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set. We are an equal opportunities employer and welcome applications from all suitable candidates. Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.
hackajob is collaborating with Solirius Reply to connect them with exceptional professionals for this role. About Us: Solirius Reply, part of the Reply Group, delivers technical consultancy and application delivery to our clients in order to solve real world problems and allow our clients to respond to an ever-changing technical landscape. We partner closely with our clients, embedding our consultants into their businesses in order to provide a bespoke service, allowing us to truly understand our clients' needs. It is this close collaboration with our clients that has enabled us to grow rapidly in recent years and will drive our ambitious future growth plans. We currently have over 300 consultants working with a variety of key clients from both the public and private sectors such as the Ministry of Justice, Department for Education, FCDOS, UEFA, International Olympic Committee and Mercedes Benz; with plans to increase our client base further in the near future. We operate as a flat organisation and believe in trusting and supporting our team to operate independently. We pride ourselves on being specialists at what we do, making the most of our consultants' expertise in their fields in order to provide a best-in-class service to our clients. All our consultants have the opportunity to work on a range of different projects, providing a broad range of knowledge on which to develop their careers and progress in the direction they choose. About You: You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you're comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. You understand and align with Solirius Reply Values The Role: We are seeking a highly skilled Java Engineer with AI expertise to design, develop, and deploy intelligent, scalable applications. You will work at the intersection of backend engineering and artificial intelligence, building systems that integrate machine learning models, data pipelines, and cloud-native services. This role is ideal for someone passionate about clean architecture, performance optimization, and applying AI technologies to real-world business challenges. Requirements Key Responsibilities Design, develop, and maintain high-performance Java-based applications Integrate AI/ML models into production-grade backend systems Build RESTful APIs and microservices using modern Java frameworks Collaborate with data scientists to deploy and scale machine learning solutions Optimise system performance, scalability, and security Implement CI/CD pipelines and ensure high code quality standards Work with cloud platforms to deploy AI-powered services Contribute to architecture decisions and technical roadmaps Design, develop, and maintain high-performance Java-based applications Integrate AI/ML models into production-grade backend systems Build RESTful APIs and microservices using modern Java frameworks Collaborate with data scientists to deploy and scale machine learning solutions Optimise system performance, scalability, and security Implement CI/CD pipelines and ensure high code quality standards Work with cloud platforms to deploy AI-powered services Contribute to architecture decisions and technical roadmaps Required Qualifications Strong experience with Java 12+, Spring Boot, and microservices architecture Experience integrating AI/ML solutions into backend systems Understanding of REST APIs, distributed systems, and database design Familiarity with SQL and NoSQL databases Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure) Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ML libraries) Strong problem-solving and communication skills Preferred Qualifications Experience with NLP, computer vision, or recommendation systems Familiarity with MLOps practices and model lifecycle management Knowledge of event-driven architectures (Kafka or similar) Experience with DevOps tooling and infrastructure as code Exposure to Generative AI and large language models Benefits What We Offer: Competitive Salary Bonus Scheme Private Healthcare Insurance 25 Days Annual Leave + Bank Holidays Up to 10 days allocated for development training per year Enhanced Parental Leave Paid Fertility Leave (5 Days) Statutory & Contributory Pension EAP with Gym Membership Benefits Flexible Working Annual Away Days/Company Socials Equality & Diversity: Solirius Reply is an equal opportunities employer. We are committed to creating a work environment that supports, celebrates, encourages, and respects all individuals and in which all processes are based on merit, competence and business needs. We do not discriminate on the basis of race, religion, gender, sexuality, age, disability, ethnicity, marital status or any other protected characteristics. Should you require further assistance or require any reasonable adjustments be put in place to better support your application process, please do not hesitate to raise this with us.
Jul 28, 2026
Full time
hackajob is collaborating with Solirius Reply to connect them with exceptional professionals for this role. About Us: Solirius Reply, part of the Reply Group, delivers technical consultancy and application delivery to our clients in order to solve real world problems and allow our clients to respond to an ever-changing technical landscape. We partner closely with our clients, embedding our consultants into their businesses in order to provide a bespoke service, allowing us to truly understand our clients' needs. It is this close collaboration with our clients that has enabled us to grow rapidly in recent years and will drive our ambitious future growth plans. We currently have over 300 consultants working with a variety of key clients from both the public and private sectors such as the Ministry of Justice, Department for Education, FCDOS, UEFA, International Olympic Committee and Mercedes Benz; with plans to increase our client base further in the near future. We operate as a flat organisation and believe in trusting and supporting our team to operate independently. We pride ourselves on being specialists at what we do, making the most of our consultants' expertise in their fields in order to provide a best-in-class service to our clients. All our consultants have the opportunity to work on a range of different projects, providing a broad range of knowledge on which to develop their careers and progress in the direction they choose. About You: You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you're comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. You understand and align with Solirius Reply Values The Role: We are seeking a highly skilled Java Engineer with AI expertise to design, develop, and deploy intelligent, scalable applications. You will work at the intersection of backend engineering and artificial intelligence, building systems that integrate machine learning models, data pipelines, and cloud-native services. This role is ideal for someone passionate about clean architecture, performance optimization, and applying AI technologies to real-world business challenges. Requirements Key Responsibilities Design, develop, and maintain high-performance Java-based applications Integrate AI/ML models into production-grade backend systems Build RESTful APIs and microservices using modern Java frameworks Collaborate with data scientists to deploy and scale machine learning solutions Optimise system performance, scalability, and security Implement CI/CD pipelines and ensure high code quality standards Work with cloud platforms to deploy AI-powered services Contribute to architecture decisions and technical roadmaps Design, develop, and maintain high-performance Java-based applications Integrate AI/ML models into production-grade backend systems Build RESTful APIs and microservices using modern Java frameworks Collaborate with data scientists to deploy and scale machine learning solutions Optimise system performance, scalability, and security Implement CI/CD pipelines and ensure high code quality standards Work with cloud platforms to deploy AI-powered services Contribute to architecture decisions and technical roadmaps Required Qualifications Strong experience with Java 12+, Spring Boot, and microservices architecture Experience integrating AI/ML solutions into backend systems Understanding of REST APIs, distributed systems, and database design Familiarity with SQL and NoSQL databases Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure) Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ML libraries) Strong problem-solving and communication skills Preferred Qualifications Experience with NLP, computer vision, or recommendation systems Familiarity with MLOps practices and model lifecycle management Knowledge of event-driven architectures (Kafka or similar) Experience with DevOps tooling and infrastructure as code Exposure to Generative AI and large language models Benefits What We Offer: Competitive Salary Bonus Scheme Private Healthcare Insurance 25 Days Annual Leave + Bank Holidays Up to 10 days allocated for development training per year Enhanced Parental Leave Paid Fertility Leave (5 Days) Statutory & Contributory Pension EAP with Gym Membership Benefits Flexible Working Annual Away Days/Company Socials Equality & Diversity: Solirius Reply is an equal opportunities employer. We are committed to creating a work environment that supports, celebrates, encourages, and respects all individuals and in which all processes are based on merit, competence and business needs. We do not discriminate on the basis of race, religion, gender, sexuality, age, disability, ethnicity, marital status or any other protected characteristics. Should you require further assistance or require any reasonable adjustments be put in place to better support your application process, please do not hesitate to raise this with us.
hackajob is collaborating with Envitia to connect them with exceptional professionals for this role. Envitia is a UK-based data and digital consultancy, delivering high-impact transformation services that help organisations unlock the full value of their data. With over 30 years of experience, we combine deep technical expertise with a strong consulting approach, working in close partnership with our clients to solve complex, mission-critical challenges and deliver measurable business outcomes. Our consulting teams operate at the heart of some of the UK's most critical programmes, partnering with Central Government, Defence, and National Security organisations. We act as trusted advisors-shaping strategy, defining architectures, and leading transformation initiatives that enable our clients to harness data, from geospatial intelligence through to advanced analytics and AI. At Envitia, consulting is about more than delivery, it's about influence, impact, and long-term partnership. You'll be part of a growing, collaborative consulting practice that is focused on delivering real value, building enduring client relationships, and shaping the future of data-driven decision-making in complex environments. We're also proud to have been named one of The Sunday Times Top 100 Medium-Sized Companies, a reflection of our commitment to innovation, collaboration, and creating an environment where our people can thrive. The Role Envitia is looking for an AI Engineer to join our growing AI team within the Consulting function. In this role, you will design, build and deploy scalable, responsible AI and machine learning solutions that help our UK public sector clients across Defence, Government and Security / Intelligence unlock greater value from their data. Your work will transform complex information into trusted insights, decision-support tools and operational advantage. This is a hands-on delivery role working across a variety of client engagements, from machine learning and predictive analytics through to cutting-edge Generative AI applications. You will develop production-ready AI solutions, contribute to the evolution of our MLOps capabilities and reusable accelerators, and help shape innovative proof-of-concepts and client proposals that showcase Envitia's AI expertise. Working within multidisciplinary teams, you will collaborate closely with data engineers, software engineers, analysts, visualisation specialists and consultants, supported by a developing AI Community of Practice. Typical engagements include: Designing, developing and deploying machine learning and AI solutions to solve complex operational challenges. Developing scalable data pipelines and AI services that transform structured and unstructured data into actionable insights. Implementing MLOps practices to support model deployment, monitoring, governance and continuous improvement. Applying Natural Language Processing (NLP), predictive analytics and decision-support techniques to mission-critical use cases. Developing API-driven AI services and integrating AI capabilities into enterprise and operational systems. Delivering cloud-native and containerised AI solutions within secure environments. Working with clients to identify opportunities for AI adoption and translate business challenges into practical technical solutions. Responsibilities Design, develop, train and deploy machine learning and AI models, including predictive analytics, natural language processing (NLP), computer vision and Generative AI solutions, to support client mission and business outcomes. Build scalable, reusable AI products, accelerators and solution components that can be deployed across multiple client engagements, improving delivery efficiency and consistency. Develop and integrate Generative AI and large language model (LLM) capabilities using platforms such as Azure AI Foundry and Azure OpenAI, ensuring solutions are secure, responsible and aligned to client requirements. Implement and continuously improve MLOps practices, including model deployment, monitoring, governance, retraining and lifecycle management, to ensure reliable production operation of AI systems. Engineer features, datasets and data pipelines across structured and unstructured data sources, working closely with data engineers and analysts to deliver actionable insights. Apply responsible AI principles, ensuring fairness, transparency, explainability, security and compliance throughout the AI solution lifecycle. Collaborate with consultants, technical specialists and client stakeholders to understand operational challenges and translate them into practical, value-driven AI solutions. Contribute to technical proposals, demonstrations, proof-of-concepts and thought leadership activities that showcase Envitia's AI capabilities and support business growth. Stay current with emerging AI technologies, frameworks and best practices, identifying opportunities to enhance Envitia's capabilities and client offerings. Support knowledge sharing, mentoring and capability development across the AI team, wider Consulting function and AI Community of Practice. Experience Required Essential Strong Python programming and hands-on experience with core ML/AI libraries (for example scikit-learn, TensorFlow, PyTorch). Practical experience developing, training and evaluating machine learning, NLP and predictive models. Experience deploying AI/ML in the cloud, particularly Microsoft Azure (Azure AI/ML, Azure AI Foundry / Azure OpenAI). Working knowledge of Generative AI / large language models and prompt engineering applied to practical use cases. Understanding of MLOps practices for model deployment, monitoring and lifecycle management. Solid data engineering skills across structured and unstructured data, with awareness of responsible AI, data governance and security; strong communication skills for technical and non-technical audiences. Desirable Experience in a consulting or client-facing delivery environment. Exposure to data visualisation (Power BI, Tableau) and rapid front-end prototyping (Streamlit, Flask, Django, Figma). Experience working with geospatial data. Experience delivering within the UK public sector, Defence or National Security. Exposure to Databricks and/or Snowflake. A relevant degree (Computer Science, Data Science, AI/ML or related) or equivalent practical experience. Security Clearance Requirements The successful candidate must be eligible to obtain and maintain a SC level security clearance. Location The role will require travel to our Horsham offices 2 days a month as well as travel to customer sites in the UK when required. What it's like to work at Envitia At Envitia, we believe that our greatest asset is our people. We're committed to fostering a work environment where every employee feels valued, supported, and motivated to excel. Our comprehensive benefits package is designed to enhance both your professional and personal wellbeing, including: Annual Leave: 25 days plus your birthday off, with the ability to buy or sell up to five additional days Private Healthcare: Comprehensive coverage with additional options for family members Training & Skills Development: Ongoing learning opportunities to help you advance your career Fitness Reimbursement: Support for gym memberships or fitness-related expenses Life Assurance: Extensive life insurance coverage for peace of mind Pension Contribution: Competitive options to help you plan for a secure financial future Perkbox Subscription: Discounts on a wide range of products and services Flexible Work Arrangements: Designed to support work-life balance and personal commitments Internal Reward Schemes: Recognition initiatives to celebrate your contributions and achievements Community Engagement & Volunteering: Opportunities to support meaningful causes through company-sponsored programs Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work-life balance. If you require any accommodations during the application or interview process, please let us know.
Jul 25, 2026
Full time
hackajob is collaborating with Envitia to connect them with exceptional professionals for this role. Envitia is a UK-based data and digital consultancy, delivering high-impact transformation services that help organisations unlock the full value of their data. With over 30 years of experience, we combine deep technical expertise with a strong consulting approach, working in close partnership with our clients to solve complex, mission-critical challenges and deliver measurable business outcomes. Our consulting teams operate at the heart of some of the UK's most critical programmes, partnering with Central Government, Defence, and National Security organisations. We act as trusted advisors-shaping strategy, defining architectures, and leading transformation initiatives that enable our clients to harness data, from geospatial intelligence through to advanced analytics and AI. At Envitia, consulting is about more than delivery, it's about influence, impact, and long-term partnership. You'll be part of a growing, collaborative consulting practice that is focused on delivering real value, building enduring client relationships, and shaping the future of data-driven decision-making in complex environments. We're also proud to have been named one of The Sunday Times Top 100 Medium-Sized Companies, a reflection of our commitment to innovation, collaboration, and creating an environment where our people can thrive. The Role Envitia is looking for an AI Engineer to join our growing AI team within the Consulting function. In this role, you will design, build and deploy scalable, responsible AI and machine learning solutions that help our UK public sector clients across Defence, Government and Security / Intelligence unlock greater value from their data. Your work will transform complex information into trusted insights, decision-support tools and operational advantage. This is a hands-on delivery role working across a variety of client engagements, from machine learning and predictive analytics through to cutting-edge Generative AI applications. You will develop production-ready AI solutions, contribute to the evolution of our MLOps capabilities and reusable accelerators, and help shape innovative proof-of-concepts and client proposals that showcase Envitia's AI expertise. Working within multidisciplinary teams, you will collaborate closely with data engineers, software engineers, analysts, visualisation specialists and consultants, supported by a developing AI Community of Practice. Typical engagements include: Designing, developing and deploying machine learning and AI solutions to solve complex operational challenges. Developing scalable data pipelines and AI services that transform structured and unstructured data into actionable insights. Implementing MLOps practices to support model deployment, monitoring, governance and continuous improvement. Applying Natural Language Processing (NLP), predictive analytics and decision-support techniques to mission-critical use cases. Developing API-driven AI services and integrating AI capabilities into enterprise and operational systems. Delivering cloud-native and containerised AI solutions within secure environments. Working with clients to identify opportunities for AI adoption and translate business challenges into practical technical solutions. Responsibilities Design, develop, train and deploy machine learning and AI models, including predictive analytics, natural language processing (NLP), computer vision and Generative AI solutions, to support client mission and business outcomes. Build scalable, reusable AI products, accelerators and solution components that can be deployed across multiple client engagements, improving delivery efficiency and consistency. Develop and integrate Generative AI and large language model (LLM) capabilities using platforms such as Azure AI Foundry and Azure OpenAI, ensuring solutions are secure, responsible and aligned to client requirements. Implement and continuously improve MLOps practices, including model deployment, monitoring, governance, retraining and lifecycle management, to ensure reliable production operation of AI systems. Engineer features, datasets and data pipelines across structured and unstructured data sources, working closely with data engineers and analysts to deliver actionable insights. Apply responsible AI principles, ensuring fairness, transparency, explainability, security and compliance throughout the AI solution lifecycle. Collaborate with consultants, technical specialists and client stakeholders to understand operational challenges and translate them into practical, value-driven AI solutions. Contribute to technical proposals, demonstrations, proof-of-concepts and thought leadership activities that showcase Envitia's AI capabilities and support business growth. Stay current with emerging AI technologies, frameworks and best practices, identifying opportunities to enhance Envitia's capabilities and client offerings. Support knowledge sharing, mentoring and capability development across the AI team, wider Consulting function and AI Community of Practice. Experience Required Essential Strong Python programming and hands-on experience with core ML/AI libraries (for example scikit-learn, TensorFlow, PyTorch). Practical experience developing, training and evaluating machine learning, NLP and predictive models. Experience deploying AI/ML in the cloud, particularly Microsoft Azure (Azure AI/ML, Azure AI Foundry / Azure OpenAI). Working knowledge of Generative AI / large language models and prompt engineering applied to practical use cases. Understanding of MLOps practices for model deployment, monitoring and lifecycle management. Solid data engineering skills across structured and unstructured data, with awareness of responsible AI, data governance and security; strong communication skills for technical and non-technical audiences. Desirable Experience in a consulting or client-facing delivery environment. Exposure to data visualisation (Power BI, Tableau) and rapid front-end prototyping (Streamlit, Flask, Django, Figma). Experience working with geospatial data. Experience delivering within the UK public sector, Defence or National Security. Exposure to Databricks and/or Snowflake. A relevant degree (Computer Science, Data Science, AI/ML or related) or equivalent practical experience. Security Clearance Requirements The successful candidate must be eligible to obtain and maintain a SC level security clearance. Location The role will require travel to our Horsham offices 2 days a month as well as travel to customer sites in the UK when required. What it's like to work at Envitia At Envitia, we believe that our greatest asset is our people. We're committed to fostering a work environment where every employee feels valued, supported, and motivated to excel. Our comprehensive benefits package is designed to enhance both your professional and personal wellbeing, including: Annual Leave: 25 days plus your birthday off, with the ability to buy or sell up to five additional days Private Healthcare: Comprehensive coverage with additional options for family members Training & Skills Development: Ongoing learning opportunities to help you advance your career Fitness Reimbursement: Support for gym memberships or fitness-related expenses Life Assurance: Extensive life insurance coverage for peace of mind Pension Contribution: Competitive options to help you plan for a secure financial future Perkbox Subscription: Discounts on a wide range of products and services Flexible Work Arrangements: Designed to support work-life balance and personal commitments Internal Reward Schemes: Recognition initiatives to celebrate your contributions and achievements Community Engagement & Volunteering: Opportunities to support meaningful causes through company-sponsored programs Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work-life balance. If you require any accommodations during the application or interview process, please let us know.
Research Scientist / Research Engineer - Multimodal AI & Large Language Models Location: London Salary: (phone number removed) per annum + permanent benefits + bonus Job Type: Permanent, Full-Time, On-site About the Opportunity We are partnering with an innovative research organisation at the forefront of artificial intelligence to hire exceptional Research Scientists and Research Engineers specialising in Multimodal AI, Vision-Language Models and Large-Scale Deep Learning Systems . This is an opportunity to join a world-class research environment focused on advancing the next generation of AI technologies, working alongside leading researchers on cutting-edge challenges in multimodal understanding, generation, reasoning and embodied intelligence. You will have access to significant computing resources and the freedom to contribute to breakthrough research while helping translate innovative ideas into real-world applications. The Role As a key member of the research team, you will contribute to the development of state-of-the-art multimodal AI systems, driving advancements across model architecture, data infrastructure and large-scale training systems. Key Responsibilities AI Research & Model Development Design and develop next-generation Vision Transformers (ViTs) and multimodal large language models. Advance research in multimodal alignment, representation learning and long-context reasoning. Explore and implement scalable training methodologies for large multimodal models. Optimise model architectures to improve performance, efficiency and generalisation. Data & Dataset Development Process and curate large-scale multimodal datasets spanning image, video, audio and text data. Build robust data pipelines covering cleaning, filtering, annotation and quality assurance. Develop reproducible dataset management and version control processes. Improve training outcomes through data sampling, mixture optimisation and feedback-driven curation. AI Infrastructure & Systems Develop distributed training frameworks for large-scale AI models. Enhance GPU utilisation, cluster performance and resource scheduling. Build and improve training, inference and model serving systems. Contribute to scalable, reliable and high-performance AI infrastructure. Research to Production Collaborate with engineering and product teams to deploy advanced AI capabilities. Translate research innovations into practical applications and user-facing solutions. Support the continuous improvement and iteration of deployed models. About You Essential Requirements Bachelor's degree or higher in Computer Science, Mathematics, Statistics or a related technical field. Strong Python programming skills and hands-on experience with PyTorch and modern deep learning frameworks. Excellent understanding of machine learning algorithms, mathematical modelling and problem-solving techniques. Strong communication and collaboration skills, with the ability to work effectively across multidisciplinary teams. Passion for advancing AI research and solving complex technical challenges. 1st Author publications in leading AI, machine learning or computer vision conferences such as CVPR, ICCV, ECCV, NeurIPS, ICML or ICLR. Previous experience within AI research teams, leading technology organisations or advanced R&D environments. Experience pre-training or fine-tuning large-scale foundation models.
Jul 24, 2026
Full time
Research Scientist / Research Engineer - Multimodal AI & Large Language Models Location: London Salary: (phone number removed) per annum + permanent benefits + bonus Job Type: Permanent, Full-Time, On-site About the Opportunity We are partnering with an innovative research organisation at the forefront of artificial intelligence to hire exceptional Research Scientists and Research Engineers specialising in Multimodal AI, Vision-Language Models and Large-Scale Deep Learning Systems . This is an opportunity to join a world-class research environment focused on advancing the next generation of AI technologies, working alongside leading researchers on cutting-edge challenges in multimodal understanding, generation, reasoning and embodied intelligence. You will have access to significant computing resources and the freedom to contribute to breakthrough research while helping translate innovative ideas into real-world applications. The Role As a key member of the research team, you will contribute to the development of state-of-the-art multimodal AI systems, driving advancements across model architecture, data infrastructure and large-scale training systems. Key Responsibilities AI Research & Model Development Design and develop next-generation Vision Transformers (ViTs) and multimodal large language models. Advance research in multimodal alignment, representation learning and long-context reasoning. Explore and implement scalable training methodologies for large multimodal models. Optimise model architectures to improve performance, efficiency and generalisation. Data & Dataset Development Process and curate large-scale multimodal datasets spanning image, video, audio and text data. Build robust data pipelines covering cleaning, filtering, annotation and quality assurance. Develop reproducible dataset management and version control processes. Improve training outcomes through data sampling, mixture optimisation and feedback-driven curation. AI Infrastructure & Systems Develop distributed training frameworks for large-scale AI models. Enhance GPU utilisation, cluster performance and resource scheduling. Build and improve training, inference and model serving systems. Contribute to scalable, reliable and high-performance AI infrastructure. Research to Production Collaborate with engineering and product teams to deploy advanced AI capabilities. Translate research innovations into practical applications and user-facing solutions. Support the continuous improvement and iteration of deployed models. About You Essential Requirements Bachelor's degree or higher in Computer Science, Mathematics, Statistics or a related technical field. Strong Python programming skills and hands-on experience with PyTorch and modern deep learning frameworks. Excellent understanding of machine learning algorithms, mathematical modelling and problem-solving techniques. Strong communication and collaboration skills, with the ability to work effectively across multidisciplinary teams. Passion for advancing AI research and solving complex technical challenges. 1st Author publications in leading AI, machine learning or computer vision conferences such as CVPR, ICCV, ECCV, NeurIPS, ICML or ICLR. Previous experience within AI research teams, leading technology organisations or advanced R&D environments. Experience pre-training or fine-tuning large-scale foundation models.
Research Scientist/Research Engineer - Multimodal AI & Large Language Models Location: London Salary: £110-120,000 per annum + permanent benefits + bonus Job Type: Permanent, Full-Time, On-site About the Opportunity We are partnering with an innovative research organisation at the forefront of artificial intelligence to hire exceptional Research Scientists and Research Engineers specialising in Multimodal AI, Vision-Language Models and Large-Scale Deep Learning Systems . This is an opportunity to join a world-class research environment focused on advancing the next generation of AI technologies, working alongside leading researchers on cutting-edge challenges in multimodal understanding, generation, reasoning and embodied intelligence. You will have access to significant computing resources and the freedom to contribute to breakthrough research while helping translate innovative ideas into real-world applications. The Role As a key member of the research team, you will contribute to the development of state-of-the-art multimodal AI systems, driving advancements across model architecture, data infrastructure and large-scale training systems. Key Responsibilities AI Research & Model Development Design and develop next-generation Vision Transformers (ViTs) and multimodal large language models. Advance research in multimodal alignment, representation learning and long-context reasoning. Explore and implement scalable training methodologies for large multimodal models. Optimise model architectures to improve performance, efficiency and generalisation. Data & Dataset Development Process and curate large-scale multimodal datasets spanning image, video, audio and text data. Build robust data pipelines covering cleaning, filtering, annotation and quality assurance. Develop reproducible dataset management and version control processes. Improve training outcomes through data sampling, mixture optimisation and feedback-driven curation. AI Infrastructure & Systems Develop distributed training frameworks for large-scale AI models. Enhance GPU utilisation, cluster performance and resource scheduling. Build and improve training, inference and model serving systems. Contribute to scalable, reliable and high-performance AI infrastructure. Research to Production Collaborate with engineering and product teams to deploy advanced AI capabilities. Translate research innovations into practical applications and user-facing solutions. Support the continuous improvement and iteration of deployed models. About You Essential Requirements Bachelor's degree or higher in Computer Science, Mathematics, Statistics or a related technical field. Strong Python programming skills and hands-on experience with PyTorch and modern deep learning frameworks. Excellent understanding of machine learning algorithms, mathematical modelling and problem-solving techniques. Strong communication and collaboration skills, with the ability to work effectively across multidisciplinary teams. Passion for advancing AI research and solving complex technical challenges. 1st Author publications in leading AI, machine learning or computer vision conferences such as CVPR, ICCV, ECCV, NeurIPS, ICML or ICLR. Previous experience within AI research teams, leading technology organisations or advanced R&D environments. Experience pre-training or fine-tuning large-scale foundation models.
Jul 24, 2026
Full time
Research Scientist/Research Engineer - Multimodal AI & Large Language Models Location: London Salary: £110-120,000 per annum + permanent benefits + bonus Job Type: Permanent, Full-Time, On-site About the Opportunity We are partnering with an innovative research organisation at the forefront of artificial intelligence to hire exceptional Research Scientists and Research Engineers specialising in Multimodal AI, Vision-Language Models and Large-Scale Deep Learning Systems . This is an opportunity to join a world-class research environment focused on advancing the next generation of AI technologies, working alongside leading researchers on cutting-edge challenges in multimodal understanding, generation, reasoning and embodied intelligence. You will have access to significant computing resources and the freedom to contribute to breakthrough research while helping translate innovative ideas into real-world applications. The Role As a key member of the research team, you will contribute to the development of state-of-the-art multimodal AI systems, driving advancements across model architecture, data infrastructure and large-scale training systems. Key Responsibilities AI Research & Model Development Design and develop next-generation Vision Transformers (ViTs) and multimodal large language models. Advance research in multimodal alignment, representation learning and long-context reasoning. Explore and implement scalable training methodologies for large multimodal models. Optimise model architectures to improve performance, efficiency and generalisation. Data & Dataset Development Process and curate large-scale multimodal datasets spanning image, video, audio and text data. Build robust data pipelines covering cleaning, filtering, annotation and quality assurance. Develop reproducible dataset management and version control processes. Improve training outcomes through data sampling, mixture optimisation and feedback-driven curation. AI Infrastructure & Systems Develop distributed training frameworks for large-scale AI models. Enhance GPU utilisation, cluster performance and resource scheduling. Build and improve training, inference and model serving systems. Contribute to scalable, reliable and high-performance AI infrastructure. Research to Production Collaborate with engineering and product teams to deploy advanced AI capabilities. Translate research innovations into practical applications and user-facing solutions. Support the continuous improvement and iteration of deployed models. About You Essential Requirements Bachelor's degree or higher in Computer Science, Mathematics, Statistics or a related technical field. Strong Python programming skills and hands-on experience with PyTorch and modern deep learning frameworks. Excellent understanding of machine learning algorithms, mathematical modelling and problem-solving techniques. Strong communication and collaboration skills, with the ability to work effectively across multidisciplinary teams. Passion for advancing AI research and solving complex technical challenges. 1st Author publications in leading AI, machine learning or computer vision conferences such as CVPR, ICCV, ECCV, NeurIPS, ICML or ICLR. Previous experience within AI research teams, leading technology organisations or advanced R&D environments. Experience pre-training or fine-tuning large-scale foundation models.
About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. We are passionate about user-centred design, agile delivery, and building digital services that make a real difference - and we're now scaling that expertise into large, high-stakes AI adoption programmes across the public sector. Overview We're looking for a Lead AI Engineer to be the hands-on technical builder at the core of a large-scale AI Operating Model programme for a central government department. Where the Lead Technical Architect sets direction, you turn it into working, production-grade systems - semantic search, RAG pipelines, and broader generative AI capability - integrated into complex Legacy and multi-cloud environments handling high-volume, sensitive public sector data. You'll work inside a collaborative "Rainbow Team" alongside civil servants and the wider delivery team, staying close to the code while also mentoring engineers and helping build the internal capability the department needs to eventually run these systems without long-term reliance on external suppliers. Key Responsibilities Hands-On Build & Delivery Design, build, and ship production AI components - RAG pipelines, retrieval and embedding infrastructure, orchestration logic, and integration layers - writing high-quality, tested, maintainable code and staying close to implementation rather than delegating it away. Technical Leadership Within the Squad Lead the engineering practice within your delivery team: set coding standards, review designs and pull requests, unblock technically complex problems, and mentor other engineers day to day. Responsible AI in Practice Implement the guardrails the Architect designs - bias mitigation checks, evaluation harnesses, human-in-the-loop review points - so that Responsible AI principles (ATRS alignment, NCSC "Secure by Design, " meaningful human control) are enforced in the running system, not just on paper. Reliability, Security & Observability Build AI services to be secure-by-default and observable in production: logging, monitoring, alerting, and rollback paths appropriate for sensitive public-sector data and high-availability requirements. Knowledge Transfer & Capability Uplift Work within the OKUA (Ownership, Knowledge, Understanding, Awareness) framework and "Docs-as-Code" practices to pair with and upskill internal government engineers, so capability genuinely transfers rather than staying locked in the consultancy team. Efficient, Sustainable Engineering Favour low-modality, resource-efficient designs where they meet the need - right-sizing models and infrastructure rather than defaulting to the largest/most expensive option - in line with the programme's Green AI and Net Zero commitments. Required Skills & Experience Loosely mapped to the Government Digital and Data (DDaT) framework, at Lead Engineer level: - Coding and Scripting (Expert) - writing production-grade, well-tested code; setting standards for others; comfortable owning components end-to-end. - Systems Design (Practitioner) - designing components that integrate cleanly into a wider, architect-defined system; understanding trade-offs across the stack. - Data Engineering (Practitioner) - building reliable pipelines to ingest, clean, and prepare data (including unstructured/Legacy sources) for AI consumption. - DevOps/Continuous Delivery (Practitioner) - CI/CD pipelines, infrastructure-as-code, and automated deployment for AI workloads specifically (not just conventional web services). - Testing & Evaluation (Practitioner) - beyond conventional unit/integration testing, building evaluation harnesses for AI system quality: retrieval accuracy, hallucination rate, bias/fairness checks. - Problem Solving (Practitioner) - diagnosing and resolving complex, ambiguous technical issues under production pressure. - Agile Working (Practitioner) - delivering iteratively within a blended, multidisciplinary team including civil servants. Given the scale of this programme, direct hands-on depth across the AI engineering stack is essential: - Strong general-purpose programming (most commonly Python) applied to AI/ML systems - Semantic search, vector/embedding infrastructure, and RAG pipeline construction - LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns) - Prompt engineering and systematic evaluation/guardrail tooling (hallucination detection, safety testing) - LLMOps/MLOps - model versioning, deployment, monitoring, and rollback for AI services in production - Cloud-native engineering across major providers (AWS, Azure, or GCP), including their AI/ML tooling - Containerisation and infrastructure-as-code for repeatable, auditable deployments - Secure-by-design engineering appropriate to sensitive public-sector data Desirable Experience - AWS/Azure/GCP certifications (associate or professional level) - Prior delivery of AI or digital services within UK central government or wider public sector - Experience fine-tuning or adapting open-source/foundation models for a specific domain - Open-source contributions or active engagement in AI/ML engineering communities - Experience designing for sustainability/Green IT commitments - The technological capabilities can span a wide range of AI and automation tools, including Virtual Assistants, Robotic Process Automation (RPA), Computer Vision, Natural Language Processing (NLP), Machine Learning, Deep Learning, Generative AI, Frontier LLMs, and Predictive AI. A strong candidate would have experience/exposure to nuances of these tools/technologies. Location and Working Pattern Hybrid, based from Newcastle upon Tyne, with on-site attendance required for workshops, knowledge-transfer sessions, and onboarding. All production system and data access must be performed solely from within the UK. How We Work Our values: - Collaboration - we are stronger as a team than as individuals; we tackle problems and celebrate wins together. - Create Value Early - we find the quickest route from idea to product, because our clients rely on us to do what's best. - Integrity - teamwork requires trust; we can always be relied upon to uphold the highest standards. - Commitment - no matter what, no matter how, we give our 100% to keeping our promises and achieving our goals. - Diversity and Inclusion - we believe diversity drives innovation and better outcomes, and we're committed to an inclusive environment where every individual is valued, respected, and supported. We welcome applications from candidates of all backgrounds, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we provide reasonable adjustments throughout recruitment and employment to ensure equal opportunity for all. How to Apply Please submit your CV. Shortlisted candidates will be invited to interview. This role requires BPSS (Baseline Personnel Security Standard) clearance - please flag in your application if you already hold clearance.
Jul 24, 2026
Full time
About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. We are passionate about user-centred design, agile delivery, and building digital services that make a real difference - and we're now scaling that expertise into large, high-stakes AI adoption programmes across the public sector. Overview We're looking for a Lead AI Engineer to be the hands-on technical builder at the core of a large-scale AI Operating Model programme for a central government department. Where the Lead Technical Architect sets direction, you turn it into working, production-grade systems - semantic search, RAG pipelines, and broader generative AI capability - integrated into complex Legacy and multi-cloud environments handling high-volume, sensitive public sector data. You'll work inside a collaborative "Rainbow Team" alongside civil servants and the wider delivery team, staying close to the code while also mentoring engineers and helping build the internal capability the department needs to eventually run these systems without long-term reliance on external suppliers. Key Responsibilities Hands-On Build & Delivery Design, build, and ship production AI components - RAG pipelines, retrieval and embedding infrastructure, orchestration logic, and integration layers - writing high-quality, tested, maintainable code and staying close to implementation rather than delegating it away. Technical Leadership Within the Squad Lead the engineering practice within your delivery team: set coding standards, review designs and pull requests, unblock technically complex problems, and mentor other engineers day to day. Responsible AI in Practice Implement the guardrails the Architect designs - bias mitigation checks, evaluation harnesses, human-in-the-loop review points - so that Responsible AI principles (ATRS alignment, NCSC "Secure by Design, " meaningful human control) are enforced in the running system, not just on paper. Reliability, Security & Observability Build AI services to be secure-by-default and observable in production: logging, monitoring, alerting, and rollback paths appropriate for sensitive public-sector data and high-availability requirements. Knowledge Transfer & Capability Uplift Work within the OKUA (Ownership, Knowledge, Understanding, Awareness) framework and "Docs-as-Code" practices to pair with and upskill internal government engineers, so capability genuinely transfers rather than staying locked in the consultancy team. Efficient, Sustainable Engineering Favour low-modality, resource-efficient designs where they meet the need - right-sizing models and infrastructure rather than defaulting to the largest/most expensive option - in line with the programme's Green AI and Net Zero commitments. Required Skills & Experience Loosely mapped to the Government Digital and Data (DDaT) framework, at Lead Engineer level: - Coding and Scripting (Expert) - writing production-grade, well-tested code; setting standards for others; comfortable owning components end-to-end. - Systems Design (Practitioner) - designing components that integrate cleanly into a wider, architect-defined system; understanding trade-offs across the stack. - Data Engineering (Practitioner) - building reliable pipelines to ingest, clean, and prepare data (including unstructured/Legacy sources) for AI consumption. - DevOps/Continuous Delivery (Practitioner) - CI/CD pipelines, infrastructure-as-code, and automated deployment for AI workloads specifically (not just conventional web services). - Testing & Evaluation (Practitioner) - beyond conventional unit/integration testing, building evaluation harnesses for AI system quality: retrieval accuracy, hallucination rate, bias/fairness checks. - Problem Solving (Practitioner) - diagnosing and resolving complex, ambiguous technical issues under production pressure. - Agile Working (Practitioner) - delivering iteratively within a blended, multidisciplinary team including civil servants. Given the scale of this programme, direct hands-on depth across the AI engineering stack is essential: - Strong general-purpose programming (most commonly Python) applied to AI/ML systems - Semantic search, vector/embedding infrastructure, and RAG pipeline construction - LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns) - Prompt engineering and systematic evaluation/guardrail tooling (hallucination detection, safety testing) - LLMOps/MLOps - model versioning, deployment, monitoring, and rollback for AI services in production - Cloud-native engineering across major providers (AWS, Azure, or GCP), including their AI/ML tooling - Containerisation and infrastructure-as-code for repeatable, auditable deployments - Secure-by-design engineering appropriate to sensitive public-sector data Desirable Experience - AWS/Azure/GCP certifications (associate or professional level) - Prior delivery of AI or digital services within UK central government or wider public sector - Experience fine-tuning or adapting open-source/foundation models for a specific domain - Open-source contributions or active engagement in AI/ML engineering communities - Experience designing for sustainability/Green IT commitments - The technological capabilities can span a wide range of AI and automation tools, including Virtual Assistants, Robotic Process Automation (RPA), Computer Vision, Natural Language Processing (NLP), Machine Learning, Deep Learning, Generative AI, Frontier LLMs, and Predictive AI. A strong candidate would have experience/exposure to nuances of these tools/technologies. Location and Working Pattern Hybrid, based from Newcastle upon Tyne, with on-site attendance required for workshops, knowledge-transfer sessions, and onboarding. All production system and data access must be performed solely from within the UK. How We Work Our values: - Collaboration - we are stronger as a team than as individuals; we tackle problems and celebrate wins together. - Create Value Early - we find the quickest route from idea to product, because our clients rely on us to do what's best. - Integrity - teamwork requires trust; we can always be relied upon to uphold the highest standards. - Commitment - no matter what, no matter how, we give our 100% to keeping our promises and achieving our goals. - Diversity and Inclusion - we believe diversity drives innovation and better outcomes, and we're committed to an inclusive environment where every individual is valued, respected, and supported. We welcome applications from candidates of all backgrounds, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we provide reasonable adjustments throughout recruitment and employment to ensure equal opportunity for all. How to Apply Please submit your CV. Shortlisted candidates will be invited to interview. This role requires BPSS (Baseline Personnel Security Standard) clearance - please flag in your application if you already hold clearance.
We re currently partnering with an innovative and fast-growing AI start-up based in London that is looking to hire a Graduate AI Engineer to join their expanding technical team. This is an exciting opportunity for a recent graduate or junior engineer to join a fast growing AI start up, working on cutting edge AI products with real commercial impact. You ll work closely with experienced engineers, founders, and product teams in a collaborative environment where your ideas and contributions will genuinely make a difference. The Role As a Graduate AI Engineer, you ll support the development and deployment of AI and machine learning solutions across a range of innovative projects. The successful candidate will be passionate about emerging technologies, eager to learn, and excited by the opportunity to grow within a scaling start up environment. Key responsibilities include: Supporting the development and optimisation of AI and machine learning models Working with large datasets for analysis, preprocessing, and model training Assisting with the deployment and monitoring of AI applications Collaborating with software engineers, product teams, and data specialists Contributing to backend development and API integrations Researching and testing new AI frameworks and technologies Ensuring AI systems are developed responsibly, ethically, and with a strong focus on transparency and fairness Writing clean, maintainable, and scalable code Requirements Degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Engineering, or a related field Strong understanding of machine learning concepts and AI fundamentals Understanding of software engineering best practices Strong understanding of AI ethics, responsible AI development, and principled approaches to building trustworthy AI systems Awareness of topics such as bias mitigation, model transparency, privacy, and fairness in AI applications Strong analytical and problem-solving skills Excellent communication and teamwork abilities Genuine passion for AI and emerging technologies Desirable Skills Exposure to Generative AI, LLMs, NLP, or computer vision projects Knowledge of AWS, Azure, or GCP Familiarity with Docker, APIs, or Git workflowsFamiliarity with frameworks such as PyTorch, TensorFlow, or Scikit-learn Internship, university project, or personal portfolio related to AI/ML What s on Offer Competitive graduate salary package Company stock options / equity scheme Hybrid and flexible working environment Direct mentorship from experienced AI engineers and founders Structured learning and rapid career progression opportunities The chance to work on cutting-edge AI technologies in a fast-moving start-up Collaborative, ambitious, and highly innovative culture Private healthcare and additional employee benefits Regular team socials and company events If you re looking to launch your career in AI engineering and want to be part of a rapidly growing start up environment, we d love to hear from you. Apply now with your CV for immediate consideration.
Jul 24, 2026
Full time
We re currently partnering with an innovative and fast-growing AI start-up based in London that is looking to hire a Graduate AI Engineer to join their expanding technical team. This is an exciting opportunity for a recent graduate or junior engineer to join a fast growing AI start up, working on cutting edge AI products with real commercial impact. You ll work closely with experienced engineers, founders, and product teams in a collaborative environment where your ideas and contributions will genuinely make a difference. The Role As a Graduate AI Engineer, you ll support the development and deployment of AI and machine learning solutions across a range of innovative projects. The successful candidate will be passionate about emerging technologies, eager to learn, and excited by the opportunity to grow within a scaling start up environment. Key responsibilities include: Supporting the development and optimisation of AI and machine learning models Working with large datasets for analysis, preprocessing, and model training Assisting with the deployment and monitoring of AI applications Collaborating with software engineers, product teams, and data specialists Contributing to backend development and API integrations Researching and testing new AI frameworks and technologies Ensuring AI systems are developed responsibly, ethically, and with a strong focus on transparency and fairness Writing clean, maintainable, and scalable code Requirements Degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Engineering, or a related field Strong understanding of machine learning concepts and AI fundamentals Understanding of software engineering best practices Strong understanding of AI ethics, responsible AI development, and principled approaches to building trustworthy AI systems Awareness of topics such as bias mitigation, model transparency, privacy, and fairness in AI applications Strong analytical and problem-solving skills Excellent communication and teamwork abilities Genuine passion for AI and emerging technologies Desirable Skills Exposure to Generative AI, LLMs, NLP, or computer vision projects Knowledge of AWS, Azure, or GCP Familiarity with Docker, APIs, or Git workflowsFamiliarity with frameworks such as PyTorch, TensorFlow, or Scikit-learn Internship, university project, or personal portfolio related to AI/ML What s on Offer Competitive graduate salary package Company stock options / equity scheme Hybrid and flexible working environment Direct mentorship from experienced AI engineers and founders Structured learning and rapid career progression opportunities The chance to work on cutting-edge AI technologies in a fast-moving start-up Collaborative, ambitious, and highly innovative culture Private healthcare and additional employee benefits Regular team socials and company events If you re looking to launch your career in AI engineering and want to be part of a rapidly growing start up environment, we d love to hear from you. Apply now with your CV for immediate consideration.
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION As an Applied AI / ML Lead - Vice President - Machine Learning Engineer at JPMorgan Infrastructure Platform, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Generative AI, Agentic AI, and statistical machine learning to revolutionize cloud migration. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI - powered products and services and increasing opportunity for re-use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor. Job responsibilities: Lead the deployment and scaling of advanced generative AI, agentic AI, and classical ML solutions. Design and execute enterprise-wide, reusable AI/ML frameworks and core infrastructure to accelerate AI solution development. Design and develop multi-agent systems for orchestration, agent-to-agent communication, eval, memory, telemetry, and guardrails. Apply context and prompt engineering techniques to improve prompt-based model performance. Develop and maintain tools and frameworks for prompt-based agent evaluation, monitoring, and optimization at enterprise scale. Build and maintain data pipelines and processing workflows for scalable, efficient data consumption. Write secure, high-quality production code and conduct code reviews. Partner with Engineering, Product, and Business teams to identify requirements and develop solutions. Communicate technical concepts and results to both technical and non-technical stakeholders, including senior leadership. Provide technical leadership, mentorship, and guidance to junior engineers, promoting a culture of excellence and continuous learning. Required qualifications, capabilities, and skills: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. Experience in machine learning engineering. Strong proficiency in Python and experience deploying end-to-end pipelines on AWS. Hands-on experience in system design, application development, testing, and operational stability. Preferred qualifications, capabilities, and skills: Strategic thinker with the ability to drive technical vision for business impact. Demonstrated leadership working with engineers, data scientists, and ML practitioners. Experience in customising and optimizing Github Copilot using VSCode Extension or Model Context Protocol (MCP) Experience with AWS and infrastructure-as-code tools such as Terraform. Experience in multi-agent orchestration. Familiarity with MLOps practices, including CI/CD for ML, model monitoring, automated deployment, and ML pipelines. Experience with agentic telemetry and evaluation services. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Jul 23, 2026
Full time
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION As an Applied AI / ML Lead - Vice President - Machine Learning Engineer at JPMorgan Infrastructure Platform, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Generative AI, Agentic AI, and statistical machine learning to revolutionize cloud migration. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI - powered products and services and increasing opportunity for re-use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor. Job responsibilities: Lead the deployment and scaling of advanced generative AI, agentic AI, and classical ML solutions. Design and execute enterprise-wide, reusable AI/ML frameworks and core infrastructure to accelerate AI solution development. Design and develop multi-agent systems for orchestration, agent-to-agent communication, eval, memory, telemetry, and guardrails. Apply context and prompt engineering techniques to improve prompt-based model performance. Develop and maintain tools and frameworks for prompt-based agent evaluation, monitoring, and optimization at enterprise scale. Build and maintain data pipelines and processing workflows for scalable, efficient data consumption. Write secure, high-quality production code and conduct code reviews. Partner with Engineering, Product, and Business teams to identify requirements and develop solutions. Communicate technical concepts and results to both technical and non-technical stakeholders, including senior leadership. Provide technical leadership, mentorship, and guidance to junior engineers, promoting a culture of excellence and continuous learning. Required qualifications, capabilities, and skills: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. Experience in machine learning engineering. Strong proficiency in Python and experience deploying end-to-end pipelines on AWS. Hands-on experience in system design, application development, testing, and operational stability. Preferred qualifications, capabilities, and skills: Strategic thinker with the ability to drive technical vision for business impact. Demonstrated leadership working with engineers, data scientists, and ML practitioners. Experience in customising and optimizing Github Copilot using VSCode Extension or Model Context Protocol (MCP) Experience with AWS and infrastructure-as-code tools such as Terraform. Experience in multi-agent orchestration. Familiarity with MLOps practices, including CI/CD for ML, model monitoring, automated deployment, and ML pipelines. Experience with agentic telemetry and evaluation services. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Inventing innovative machine learning systems to solve real-world problems in the defence sector Cambridge; to c£70,000 DoE + Benefits This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of devices for the defence and security sectors. As the world goes through a new industrial revolution powered by AI and ML, help lead the UK through it. You will work across the whole machine learning development lifecycle from initial concepts and architecture decisions through data collection and training to product integration, testing and evaluation. With your models integrated with in-house leading-edge electronics, the final products are fully functional prototypes and demonstrator units manufactured at small scale. What s special about this group is they do this many times per year working across multiple domains. You can be working on computer vision for one project, generative models for the next and then inventing how new methods for another. With the industry moving so quickly, this company is open to candidates with a variety of backgrounds, from new PhD s to industry veterans and anything in between. Requirements: Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch. Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains quickly. A top degree in a STEM subject. Additionally, a PhD or relevant commercial experience. UK nationality for passing security checks. While not required, experience deploying machine learning onto a range of hardware from resource constrained embedded systems through to cloud computing is desirable. As is any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc). Your future colleagues will be similarly highly skilled, with experience across industry and the drive to innovate. You will find yourself in a low-management work environment that encourages teamwork and respect for individuals expertise as well as providing opportunities for continued professional growth and development. Benefits include private medical insurance, generous pension scheme and access to local social and sports clubs. Please note, you are required to be onsite full-time for this role. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27674 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
Jul 23, 2026
Full time
Inventing innovative machine learning systems to solve real-world problems in the defence sector Cambridge; to c£70,000 DoE + Benefits This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of devices for the defence and security sectors. As the world goes through a new industrial revolution powered by AI and ML, help lead the UK through it. You will work across the whole machine learning development lifecycle from initial concepts and architecture decisions through data collection and training to product integration, testing and evaluation. With your models integrated with in-house leading-edge electronics, the final products are fully functional prototypes and demonstrator units manufactured at small scale. What s special about this group is they do this many times per year working across multiple domains. You can be working on computer vision for one project, generative models for the next and then inventing how new methods for another. With the industry moving so quickly, this company is open to candidates with a variety of backgrounds, from new PhD s to industry veterans and anything in between. Requirements: Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch. Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains quickly. A top degree in a STEM subject. Additionally, a PhD or relevant commercial experience. UK nationality for passing security checks. While not required, experience deploying machine learning onto a range of hardware from resource constrained embedded systems through to cloud computing is desirable. As is any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc). Your future colleagues will be similarly highly skilled, with experience across industry and the drive to innovate. You will find yourself in a low-management work environment that encourages teamwork and respect for individuals expertise as well as providing opportunities for continued professional growth and development. Benefits include private medical insurance, generous pension scheme and access to local social and sports clubs. Please note, you are required to be onsite full-time for this role. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27674 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
We are looking for a talented Senior Algorithms Engineer to join an innovative engineering team developing advanced machine learning and computer vision solutions for complex, real-world applications. This is an exciting opportunity for an experienced engineer to work on challenging perception and intelligence problems, applying techniques across AI, computer vision, image processing, and statistical modelling. You will play a key role in developing algorithms that enable systems to better detect, interpret, and respond to their environment. The successful candidate will have the opportunity to take ownership of technically challenging projects, influence future development activities, and support the growth of engineering capability through collaboration and mentoring. Key Responsibilities Develop and optimise machine learning and computer vision algorithms for real-world applications. Investigate complex technical challenges, designing experiments and approaches to identify effective solutions. Analyse datasets, model performance, and system behaviour to improve algorithm capability. Support the development of automated workflows for data processing, training, testing, and evaluation. Contribute to the integration and deployment of algorithms within advanced software systems. Share technical knowledge, mentor colleagues, and contribute to best practice across the engineering team. Keep up to date with emerging developments in AI, machine learning, and computer vision. Experience Required Degree or equivalent experience in Computer Science, Artificial Intelligence, Engineering, Mathematics, Physics, or a related discipline. Proven experience developing machine learning or computer vision algorithms for production or near-production environments. Strong understanding of modern computer vision techniques, including object detection, image classification, and deep learning architectures. Experience working with image datasets and applying image processing techniques to improve model performance. Strong programming skills in Python, with experience in C++ for performance-critical applications. Ability to solve complex technical problems through structured investigation and practical experimentation. Strong communication skills with the ability to explain technical concepts clearly. Due to the nature of the work, successful applicants will be required to obtain UK Security Clearance. Desirable Experience Experience with any of the following would be beneficial: Statistical modelling, Bayesian methods, uncertainty estimation, or probabilistic techniques. Synthetic data generation, multi-modal AI, or action recognition. Machine learning development tools, experiment tracking, dataset management, or CI/CD pipelines. Automation of development, testing, or deployment workflows. Cross-platform C++ development and build systems such as CMake. Benefits Hybrid and flexible working arrangements. 37.5-hour working week with Friday lunchtime finish. 28 days annual leave plus Christmas closure. Holiday purchasing scheme. Matched pension contributions up to 6%. Private medical insurance and income protection. Life assurance and employee assistance programme. Share incentive and savings schemes. Electric vehicle salary sacrifice scheme. Wellbeing support and employee benefits platform. Learning and development opportunities. TT
Jul 23, 2026
Full time
We are looking for a talented Senior Algorithms Engineer to join an innovative engineering team developing advanced machine learning and computer vision solutions for complex, real-world applications. This is an exciting opportunity for an experienced engineer to work on challenging perception and intelligence problems, applying techniques across AI, computer vision, image processing, and statistical modelling. You will play a key role in developing algorithms that enable systems to better detect, interpret, and respond to their environment. The successful candidate will have the opportunity to take ownership of technically challenging projects, influence future development activities, and support the growth of engineering capability through collaboration and mentoring. Key Responsibilities Develop and optimise machine learning and computer vision algorithms for real-world applications. Investigate complex technical challenges, designing experiments and approaches to identify effective solutions. Analyse datasets, model performance, and system behaviour to improve algorithm capability. Support the development of automated workflows for data processing, training, testing, and evaluation. Contribute to the integration and deployment of algorithms within advanced software systems. Share technical knowledge, mentor colleagues, and contribute to best practice across the engineering team. Keep up to date with emerging developments in AI, machine learning, and computer vision. Experience Required Degree or equivalent experience in Computer Science, Artificial Intelligence, Engineering, Mathematics, Physics, or a related discipline. Proven experience developing machine learning or computer vision algorithms for production or near-production environments. Strong understanding of modern computer vision techniques, including object detection, image classification, and deep learning architectures. Experience working with image datasets and applying image processing techniques to improve model performance. Strong programming skills in Python, with experience in C++ for performance-critical applications. Ability to solve complex technical problems through structured investigation and practical experimentation. Strong communication skills with the ability to explain technical concepts clearly. Due to the nature of the work, successful applicants will be required to obtain UK Security Clearance. Desirable Experience Experience with any of the following would be beneficial: Statistical modelling, Bayesian methods, uncertainty estimation, or probabilistic techniques. Synthetic data generation, multi-modal AI, or action recognition. Machine learning development tools, experiment tracking, dataset management, or CI/CD pipelines. Automation of development, testing, or deployment workflows. Cross-platform C++ development and build systems such as CMake. Benefits Hybrid and flexible working arrangements. 37.5-hour working week with Friday lunchtime finish. 28 days annual leave plus Christmas closure. Holiday purchasing scheme. Matched pension contributions up to 6%. Private medical insurance and income protection. Life assurance and employee assistance programme. Share incentive and savings schemes. Electric vehicle salary sacrifice scheme. Wellbeing support and employee benefits platform. Learning and development opportunities. TT
Principal Firmware Engineer Luton 12-month contract Paying up to 85p/h (Inside IR35) Please Note - Due to the nature of the work you?ll be required to be eligible to obtain a high level of UK Security Clearance Responsibilities : Design tools such as Xilinx, TCL, Verilog, System Verilog and UVM FPGA architectures such as Xilinx 7. Xilinx UltraScale; Intel (Altera) or Microsemi (Actel). Fast interfaces such as PCIe, Ethernet, and JESD is also required. Auto-generated code using model driven engineering using MATLAB and Simulink tools Derivation of detailed Firmware requirements and architecture from system requirements A structured approach to firmware design (RTCA DO-254 or similar) Artificial Intelligence including machine learning and genetic algorithms Electronics test methods and equipment Experience required: HNC/HND or Undergraduate Degree (Electronic Engineering, Computer Science, AI, Games Programming, Physics, or Applied Physics) or you may just have lots of skills and industry experience. Knowledge of Cryptography and anti-tamper techniques Ideally have experience within the defence industry or other highly regulated industries. Good verbal and written communication skills Working in mixed discipline teams Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
Jul 22, 2026
Contractor
Principal Firmware Engineer Luton 12-month contract Paying up to 85p/h (Inside IR35) Please Note - Due to the nature of the work you?ll be required to be eligible to obtain a high level of UK Security Clearance Responsibilities : Design tools such as Xilinx, TCL, Verilog, System Verilog and UVM FPGA architectures such as Xilinx 7. Xilinx UltraScale; Intel (Altera) or Microsemi (Actel). Fast interfaces such as PCIe, Ethernet, and JESD is also required. Auto-generated code using model driven engineering using MATLAB and Simulink tools Derivation of detailed Firmware requirements and architecture from system requirements A structured approach to firmware design (RTCA DO-254 or similar) Artificial Intelligence including machine learning and genetic algorithms Electronics test methods and equipment Experience required: HNC/HND or Undergraduate Degree (Electronic Engineering, Computer Science, AI, Games Programming, Physics, or Applied Physics) or you may just have lots of skills and industry experience. Knowledge of Cryptography and anti-tamper techniques Ideally have experience within the defence industry or other highly regulated industries. Good verbal and written communication skills Working in mixed discipline teams Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
Safran is an international high-technology group, operating in the aviation (propulsion, equipment and interiors), defense and space markets. Its core purpose is to contribute to a safer, more sustainable world, where air transport is more environmentally friendly, comfortable and accessible. Safran has a global presence, with 100,000 employees and sales of 27.3 billion euros in 2024, and holds, alone or in partnership, world or regional leadership positions in its core markets. Safran is in the 2nd place in the aerospace and defense industry in TIME magazine's "World's best companies 2024" ranking. Safran Seats is one of the world's leading manufacturers of aircraft seats, for both crew and passengers. 1 million Safran Seats-manufactured aircraft seats are currently in service with air fleets around the world. Embedded Systems Engineer - AI Innovation Cwmbran, South Wales On Site - occasional opportunity for home working Skills: Artificial Intelligence, Machine Learning, Real-Time, Embedded development, Custom Models, Sensor Fusion, Automation, Edge AI, RTOS, Deep learning, LLM, ANN, C++, Electronics, Mechatronics, Robotics Looking after the people who make Safran great is our priority. We offer a range of flexible benefits designed to support you-both in and out of work, including: Early finish on Fridays Competitive salary and annual bonus and pay review 25 days' holiday + bank holidays (option to buy/sell) Strong Pension scheme and life assurance Professional development, ongoing training, mentoring Onsite amenities: parking, restaurant, bicycle storage, showers Family-friendly and accessible workplace policies Safran - Here, we craft excellence together. At Safran, excellence is a journey - and we'd love you to be a part of it. As a trusted global leader in aerospace, defence, and space, we are proud to be a company where diversity, innovation, and opportunity come together to shape a sustainable future where we can all succeed together through a shared vision We are looking for passionate individuals to join our Engineering Innovation team as an Embedded Systems Engineer at our Cwmbran, South Wales site. Your Role As a key member of our Research & Technology team at Safran Seats, you'll use cutting-edge artificial intelligence to improve our products and processes - particularly by elevating passenger experience with intelligent edge-based systems in aircraft cabins. You'll collaborate with experts, partners, and innovators, using your hands-on technical skills to bring AI concepts from idea to real-world demonstration, all while helping build AI capabilities among colleagues. Key Responsibilities: Build deep technical and regulatory understanding of our cabin/seat electronic and data systems. Develop and test edge-AI solutions that enhance passenger experience and advance internal R&T workflows. Lead proof-of-concept trials and demonstrate the value of AI for real Safran products. Drive projects through our Technology Readiness Level process, ensuring compliance and maturity. Share AI knowledge across teams; be an in-house AI ambassador! Manage external collaborations with universities and technology partners. Maintain up-to-date project plans, budgets, and technical records. Represent Safran at industry conferences and technology events. What You'll Bring Degree (or equivalent experience) in Engineering, Computer Science, Data Science, Electronics, or similar (Essential) Proven experience designing, training, and deploying AI/ML models (deep learning/classical ML) on real-world problems (Essential) Hands-on skills integrating and deploying AI solutions on edge or resource-constrained platforms (MCUs, MPUs, GPUs, SoCs) (Essential) Programming proficiency: Python, C/C++, TensorFlow/PyTorch; version control (e.g., Git) (Essential) Innovative, practical, and communicative - comfortable explaining AI concepts and collaborating with a wide range of stakeholders (Essential) Proven experience in custom model generation with model optimisation to achieve performance targets within system constraints. (Essential) Embedded system development using RTOS, with experience in debugging and troubleshooting target hardware. (Desirable) Postgraduate qualification or formal training in AI/ML, data science, human-computer interaction or related specialism. (Desirable) At Safran, we understand that diversity and inclusion make teams stronger and more effective, and as an organisation, we are committed to fair and equitable employment practices for everyone. We also know that some candidates may be put off applying for jobs where they don't meet 100% of the criteria outlined in the advert, however, we encourage anybody to apply if you can demonstrate a variety of skills and experience relevant to the requirements of this role. Please let us know if you would like to discuss any reasonable adjustments to the application or hiring process that may better facilitate your participation.
Jul 22, 2026
Full time
Safran is an international high-technology group, operating in the aviation (propulsion, equipment and interiors), defense and space markets. Its core purpose is to contribute to a safer, more sustainable world, where air transport is more environmentally friendly, comfortable and accessible. Safran has a global presence, with 100,000 employees and sales of 27.3 billion euros in 2024, and holds, alone or in partnership, world or regional leadership positions in its core markets. Safran is in the 2nd place in the aerospace and defense industry in TIME magazine's "World's best companies 2024" ranking. Safran Seats is one of the world's leading manufacturers of aircraft seats, for both crew and passengers. 1 million Safran Seats-manufactured aircraft seats are currently in service with air fleets around the world. Embedded Systems Engineer - AI Innovation Cwmbran, South Wales On Site - occasional opportunity for home working Skills: Artificial Intelligence, Machine Learning, Real-Time, Embedded development, Custom Models, Sensor Fusion, Automation, Edge AI, RTOS, Deep learning, LLM, ANN, C++, Electronics, Mechatronics, Robotics Looking after the people who make Safran great is our priority. We offer a range of flexible benefits designed to support you-both in and out of work, including: Early finish on Fridays Competitive salary and annual bonus and pay review 25 days' holiday + bank holidays (option to buy/sell) Strong Pension scheme and life assurance Professional development, ongoing training, mentoring Onsite amenities: parking, restaurant, bicycle storage, showers Family-friendly and accessible workplace policies Safran - Here, we craft excellence together. At Safran, excellence is a journey - and we'd love you to be a part of it. As a trusted global leader in aerospace, defence, and space, we are proud to be a company where diversity, innovation, and opportunity come together to shape a sustainable future where we can all succeed together through a shared vision We are looking for passionate individuals to join our Engineering Innovation team as an Embedded Systems Engineer at our Cwmbran, South Wales site. Your Role As a key member of our Research & Technology team at Safran Seats, you'll use cutting-edge artificial intelligence to improve our products and processes - particularly by elevating passenger experience with intelligent edge-based systems in aircraft cabins. You'll collaborate with experts, partners, and innovators, using your hands-on technical skills to bring AI concepts from idea to real-world demonstration, all while helping build AI capabilities among colleagues. Key Responsibilities: Build deep technical and regulatory understanding of our cabin/seat electronic and data systems. Develop and test edge-AI solutions that enhance passenger experience and advance internal R&T workflows. Lead proof-of-concept trials and demonstrate the value of AI for real Safran products. Drive projects through our Technology Readiness Level process, ensuring compliance and maturity. Share AI knowledge across teams; be an in-house AI ambassador! Manage external collaborations with universities and technology partners. Maintain up-to-date project plans, budgets, and technical records. Represent Safran at industry conferences and technology events. What You'll Bring Degree (or equivalent experience) in Engineering, Computer Science, Data Science, Electronics, or similar (Essential) Proven experience designing, training, and deploying AI/ML models (deep learning/classical ML) on real-world problems (Essential) Hands-on skills integrating and deploying AI solutions on edge or resource-constrained platforms (MCUs, MPUs, GPUs, SoCs) (Essential) Programming proficiency: Python, C/C++, TensorFlow/PyTorch; version control (e.g., Git) (Essential) Innovative, practical, and communicative - comfortable explaining AI concepts and collaborating with a wide range of stakeholders (Essential) Proven experience in custom model generation with model optimisation to achieve performance targets within system constraints. (Essential) Embedded system development using RTOS, with experience in debugging and troubleshooting target hardware. (Desirable) Postgraduate qualification or formal training in AI/ML, data science, human-computer interaction or related specialism. (Desirable) At Safran, we understand that diversity and inclusion make teams stronger and more effective, and as an organisation, we are committed to fair and equitable employment practices for everyone. We also know that some candidates may be put off applying for jobs where they don't meet 100% of the criteria outlined in the advert, however, we encourage anybody to apply if you can demonstrate a variety of skills and experience relevant to the requirements of this role. Please let us know if you would like to discuss any reasonable adjustments to the application or hiring process that may better facilitate your participation.
hackajob is collaborating with Moody's Corporation to connect them with exceptional professionals for this role. At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies ML/GenAI Delivery in Enterprise: 5+ years of experience leading end-to-end delivery of AI/Machine Learning initiatives across complex environments Agile Leadership: Coaches Scrum/Kanban practices; drives ceremonies and continuous improvement Backlog & Execution: Builds, prioritizes, and manages backlogs; aligns scope, timeline, and quality across squads Stakeholder Communication: Delivers project status updates, manages dependencies/risks, and facilitates decisions Project Reporting & Governance: Maintains dashboards and documentation; enforces delivery standards and controls Tools: Jira, Confluence, Agile estimation (story points, velocity, burndown) Technical Fluency (Preferred): Working knowledge of data science workflows, coding concepts, AWS, and enterprise deployments Multi-Squad Coordination (Preferred): Experience scaling delivery across regions and cross-functional teams Familiarity with Machine Learning and GenAI tools and frameworks Good knowledge of finance concepts, notably financial analysis Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency Proven ability to implement AI-powered solutions to solve business challenges Education Bachelor's or master's degree in computer science, engineering, or a related field is preferred. Candidates with business-related degrees will also be considered, provided they have prior hands-on technical experience Professional certifications such as PMP (Project Management Professional), AWS Certified Cloud Practitioner, or equivalent delivery/Agile certifications (e.g., SAFe, Scrum Master) are highly desirable Responsibilities Oversee planning, execution, and release of multiple ML/Gen AI projects aligned with strategic objectives Manage dependencies across internal and external squads, ensuring smooth progress and timely delivery of product increments Facilitate quarterly planning and roadmap alignment with engineering and product teams Champion Agile methodologies (Scrum, Kanban) and coach cross-functional teams to embed Agile mindsets Facilitate ceremonies, retrospectives, and workshops to foster adaptability and innovation Engage with senior stakeholders across the organization, including analytical and technology teams Ensure transparency through dashboards, objectives and key results, and performance reporting Assist with running product pilot programmes, product rollouts, user feedback collection in the product management cycle Identify and mitigate delivery risks proactively Track quality metrics and drive continuous improvement Partner with data science, ML operations, and front-end teams to optimise release processes and reduce time-to-market Ensure alignment of delivery with product vision and business strategy About The Team Moody's Ratings' AI Analytics group develops advanced ML/GenAI for high-profile data science initiatives. The successful candidate will guide teams in building robust, scalable, and secure ML/Gen AI solutions. The successful candidate will strive to meet Moody's values: openness, diversity, inclusivity, respect, and a willingness to learn. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Jul 21, 2026
Full time
hackajob is collaborating with Moody's Corporation to connect them with exceptional professionals for this role. At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies ML/GenAI Delivery in Enterprise: 5+ years of experience leading end-to-end delivery of AI/Machine Learning initiatives across complex environments Agile Leadership: Coaches Scrum/Kanban practices; drives ceremonies and continuous improvement Backlog & Execution: Builds, prioritizes, and manages backlogs; aligns scope, timeline, and quality across squads Stakeholder Communication: Delivers project status updates, manages dependencies/risks, and facilitates decisions Project Reporting & Governance: Maintains dashboards and documentation; enforces delivery standards and controls Tools: Jira, Confluence, Agile estimation (story points, velocity, burndown) Technical Fluency (Preferred): Working knowledge of data science workflows, coding concepts, AWS, and enterprise deployments Multi-Squad Coordination (Preferred): Experience scaling delivery across regions and cross-functional teams Familiarity with Machine Learning and GenAI tools and frameworks Good knowledge of finance concepts, notably financial analysis Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency Proven ability to implement AI-powered solutions to solve business challenges Education Bachelor's or master's degree in computer science, engineering, or a related field is preferred. Candidates with business-related degrees will also be considered, provided they have prior hands-on technical experience Professional certifications such as PMP (Project Management Professional), AWS Certified Cloud Practitioner, or equivalent delivery/Agile certifications (e.g., SAFe, Scrum Master) are highly desirable Responsibilities Oversee planning, execution, and release of multiple ML/Gen AI projects aligned with strategic objectives Manage dependencies across internal and external squads, ensuring smooth progress and timely delivery of product increments Facilitate quarterly planning and roadmap alignment with engineering and product teams Champion Agile methodologies (Scrum, Kanban) and coach cross-functional teams to embed Agile mindsets Facilitate ceremonies, retrospectives, and workshops to foster adaptability and innovation Engage with senior stakeholders across the organization, including analytical and technology teams Ensure transparency through dashboards, objectives and key results, and performance reporting Assist with running product pilot programmes, product rollouts, user feedback collection in the product management cycle Identify and mitigate delivery risks proactively Track quality metrics and drive continuous improvement Partner with data science, ML operations, and front-end teams to optimise release processes and reduce time-to-market Ensure alignment of delivery with product vision and business strategy About The Team Moody's Ratings' AI Analytics group develops advanced ML/GenAI for high-profile data science initiatives. The successful candidate will guide teams in building robust, scalable, and secure ML/Gen AI solutions. The successful candidate will strive to meet Moody's values: openness, diversity, inclusivity, respect, and a willingness to learn. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
hackajob is collaborating with Leonardo to connect them with exceptional professionals for this role. Job Description: Salary: £55k to £65k Leonardo UK operates a grade-based salary framework with broad bands. The salary range shown reflects the approved grade band for this role, or a narrower hiring range published within that band, and is benchmarked against the external market. Exceptions above the standard range are managed through governance controls to protect internal equity. At Leonardo in Yeovil we are seeking an experienced Software Engineer - Mission Management Systems to drive the end-to-end development of high-integrity aircraft software during a critical technical pivot. This role focuses on the evolution of our Tactical Mission Management Systems-maintaining the reliability of our legacy manned platforms while architecting the software for our emerging uncrewed and autonomous capabilities. Your impact Working within our Helicopter division, you will be taking ownership of complex mission system software component, ensuring legacy systems remain robust, while simultaneously leveraging open architectures to ensure our future uncrewed systems are modular, portable, and ready for the next generation of autonomous missions. What you'll do as Software Engineer - Mission Management Systems Dual-Platform Architecture: Generate robust, scalable software models and detailed component designs using UML for both legacy manned and new uncrewed mission computers. Open Architecture Integration: Champion the use of Modular Open Systems Approaches (e.g., FACE/MOSA ) to ensure future software portability across autonomous fleets. High-Integrity Implementation: Develop deterministic, mission-critical real-time software components (primarily in Ada95/C/C++ ), balancing the need for rigorous memory management with the processing demands of autonomous systems. Requirements & Traceability: Capture, analyse, and manage complex system requirements, ensuring traceability using DOORS across both manned and unmanned capability drops. Verification & Integration: Construct test harnesses, execute unit testing, and conduct hardware-in-the-loop integration to prove both traditional HMI functionality and complex autonomous behaviours. Navigating Certification: Produce and maintain standard engineering documentation. You will ensure legacy systems meet DO-178C requirements while actively helping the team navigate the emerging regulatory and certification hurdles associated with uncrewed systems. Cross-Functional Leadership: Act as a technical authority during discussions with customers, suppliers, and multi-disciplinary teams to ensure autonomous and legacy software delivers the required operational capability within agreed budgets. What you'll bring: Experience: Broad experience in the full software development lifecycle for real-time, high-integrity embedded systems. Core Technical Stack: Strong proficiency in Ada95, C, or C++ . Extensive experience with UML modelling and requirements management via DOORS . Operating Environments: Deep understanding of Real-Time Operating Systems (RTOS), multi-tasking environments, and command-based OS (Linux, UNIX). Regulatory Mindset: Practical experience navigating traditional safety standards (like DO-178C), coupled with a strong appetite for tackling the unique integration and certification challenges of autonomous systems. Mindset: A proactive architect who thrives in a transitional environment, capable of respecting the rigor of manned aviation while innovating for the uncrewed future. It would be great if you bring specific knowledge or a strong interest in any of the following areas: Advanced Architecture: Integrated Modular Avionics (IMA), Modular Open Systems Approach (MOSA), Future Airborne Capability Environment (FACE), and Model-Based Systems Engineering (MBSE / SysML). Autonomy & Future Tech: Exposure to autonomous flight rules, robotics/automation technologies, AI/Machine Learning, or modern languages (Rust, C#, Java) as they apply to future uncrewed mission systems. Tactical Domain: Military Tactical Communication, Sensor, and Weapon systems integration for both crewed and uncrewed platforms. Avionics & Hardware: Integration with Aircraft Electrical Systems and networking protocols (IP/Ethernet, Mil-Std 1553, ARINC429). This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill is a good attitude and willingness to learn. Security Clearance This role will require National Security Vetting to SC level. It is a requirement that the successful applicant will undergo, achieve, and maintain SC Clearance. A range of Personnel Security Controls referred to as National Security Vetting (NSV) will apply, this will include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work-life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we're here to help you thrive. Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year. Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance : All employees at management level and below are eligible for our bonus scheme. Never Stop Learning : Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks : Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role. For a full list of our company benefits please visit our website. Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team-they are key contributors to shaping innovation, advancing technology, and enhancing global safety. At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know. Be part of something bigger - apply now! Primary Location: GB - Yeovil - Lysander Rd Contract Type: Permanent Hybrid Working: Hybrid
Jul 14, 2026
Full time
hackajob is collaborating with Leonardo to connect them with exceptional professionals for this role. Job Description: Salary: £55k to £65k Leonardo UK operates a grade-based salary framework with broad bands. The salary range shown reflects the approved grade band for this role, or a narrower hiring range published within that band, and is benchmarked against the external market. Exceptions above the standard range are managed through governance controls to protect internal equity. At Leonardo in Yeovil we are seeking an experienced Software Engineer - Mission Management Systems to drive the end-to-end development of high-integrity aircraft software during a critical technical pivot. This role focuses on the evolution of our Tactical Mission Management Systems-maintaining the reliability of our legacy manned platforms while architecting the software for our emerging uncrewed and autonomous capabilities. Your impact Working within our Helicopter division, you will be taking ownership of complex mission system software component, ensuring legacy systems remain robust, while simultaneously leveraging open architectures to ensure our future uncrewed systems are modular, portable, and ready for the next generation of autonomous missions. What you'll do as Software Engineer - Mission Management Systems Dual-Platform Architecture: Generate robust, scalable software models and detailed component designs using UML for both legacy manned and new uncrewed mission computers. Open Architecture Integration: Champion the use of Modular Open Systems Approaches (e.g., FACE/MOSA ) to ensure future software portability across autonomous fleets. High-Integrity Implementation: Develop deterministic, mission-critical real-time software components (primarily in Ada95/C/C++ ), balancing the need for rigorous memory management with the processing demands of autonomous systems. Requirements & Traceability: Capture, analyse, and manage complex system requirements, ensuring traceability using DOORS across both manned and unmanned capability drops. Verification & Integration: Construct test harnesses, execute unit testing, and conduct hardware-in-the-loop integration to prove both traditional HMI functionality and complex autonomous behaviours. Navigating Certification: Produce and maintain standard engineering documentation. You will ensure legacy systems meet DO-178C requirements while actively helping the team navigate the emerging regulatory and certification hurdles associated with uncrewed systems. Cross-Functional Leadership: Act as a technical authority during discussions with customers, suppliers, and multi-disciplinary teams to ensure autonomous and legacy software delivers the required operational capability within agreed budgets. What you'll bring: Experience: Broad experience in the full software development lifecycle for real-time, high-integrity embedded systems. Core Technical Stack: Strong proficiency in Ada95, C, or C++ . Extensive experience with UML modelling and requirements management via DOORS . Operating Environments: Deep understanding of Real-Time Operating Systems (RTOS), multi-tasking environments, and command-based OS (Linux, UNIX). Regulatory Mindset: Practical experience navigating traditional safety standards (like DO-178C), coupled with a strong appetite for tackling the unique integration and certification challenges of autonomous systems. Mindset: A proactive architect who thrives in a transitional environment, capable of respecting the rigor of manned aviation while innovating for the uncrewed future. It would be great if you bring specific knowledge or a strong interest in any of the following areas: Advanced Architecture: Integrated Modular Avionics (IMA), Modular Open Systems Approach (MOSA), Future Airborne Capability Environment (FACE), and Model-Based Systems Engineering (MBSE / SysML). Autonomy & Future Tech: Exposure to autonomous flight rules, robotics/automation technologies, AI/Machine Learning, or modern languages (Rust, C#, Java) as they apply to future uncrewed mission systems. Tactical Domain: Military Tactical Communication, Sensor, and Weapon systems integration for both crewed and uncrewed platforms. Avionics & Hardware: Integration with Aircraft Electrical Systems and networking protocols (IP/Ethernet, Mil-Std 1553, ARINC429). This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill is a good attitude and willingness to learn. Security Clearance This role will require National Security Vetting to SC level. It is a requirement that the successful applicant will undergo, achieve, and maintain SC Clearance. A range of Personnel Security Controls referred to as National Security Vetting (NSV) will apply, this will include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work-life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we're here to help you thrive. Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year. Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance : All employees at management level and below are eligible for our bonus scheme. Never Stop Learning : Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks : Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role. For a full list of our company benefits please visit our website. Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team-they are key contributors to shaping innovation, advancing technology, and enhancing global safety. At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know. Be part of something bigger - apply now! Primary Location: GB - Yeovil - Lysander Rd Contract Type: Permanent Hybrid Working: Hybrid
hackajob is collaborating with Envitia to connect them with exceptional professionals for this role. Envitia is a UK-based data and digital consultancy, delivering high-impact transformation services that help organisations unlock the full value of their data. With over 30 years of experience, we combine deep technical expertise with a strong consulting approach, working in close partnership with our clients to solve complex, mission-critical challenges and deliver measurable business outcomes. Our consulting teams operate at the heart of some of the UK's most critical programmes, partnering with Central Government, Defence, and National Security organisations. We act as trusted advisors-shaping strategy, defining architectures, and leading transformation initiatives that enable our clients to harness data, from geospatial intelligence through to advanced analytics and AI. At Envitia, consulting is about more than delivery, it's about influence, impact, and long-term partnership. You'll be part of a growing, collaborative consulting practice that is focused on delivering real value, building enduring client relationships, and shaping the future of data-driven decision-making in complex environments. We're also proud to have been named one of The Sunday Times Top 100 Medium-Sized Companies, a reflection of our commitment to innovation, collaboration, and creating an environment where our people can thrive. The Role Envitia is looking for an AI/ML Senior Consultant to join our growing AI team within the Consulting function. In this role, you will design, build and deploy scalable, responsible AI and machine learning solutions that help our UK public sector clients across Defence, Government and Security / Intelligence unlock greater value from their data. Your work will transform complex information into trusted insights, decision-support tools and operational advantage. This is a hands-on delivery role working across a variety of client engagements, from machine learning and predictive analytics through to cutting-edge Generative AI applications. You will develop production-ready AI solutions, contribute to the evolution of our MLOps capabilities and reusable accelerators, and help shape innovative proof-of-concepts and client proposals that showcase Envitia's AI expertise. Working within multidisciplinary teams, you will collaborate closely with data engineers, software engineers, analysts, visualisation specialists and consultants, supported by a developing AI Community of Practice. Typical engagements include: Designing, developing and deploying machine learning and AI solutions to solve complex operational challenges. Developing scalable data pipelines and AI services that transform structured and unstructured data into actionable insights. Implementing MLOps practices to support model deployment, monitoring, governance and continuous improvement. Applying Natural Language Processing (NLP), predictive analytics and decision-support techniques to mission-critical use cases. Developing API-driven AI services and integrating AI capabilities into enterprise and operational systems. Delivering cloud-native and containerised AI solutions within secure environments. Working with clients to identify opportunities for AI adoption and translate business challenges into practical technical solutions. Responsibilities Design, develop, train and deploy machine learning and AI models, including predictive analytics, natural language processing (NLP), computer vision and Generative AI solutions, to support client mission and business outcomes. Build scalable, reusable AI products, accelerators and solution components that can be deployed across multiple client engagements, improving delivery efficiency and consistency. Develop and integrate Generative AI and large language model (LLM) capabilities using platforms such as Azure AI Foundry and Azure OpenAI, ensuring solutions are secure, responsible and aligned to client requirements. Implement and continuously improve MLOps practices, including model deployment, monitoring, governance, retraining and lifecycle management, to ensure reliable production operation of AI systems. Engineer features, datasets and data pipelines across structured and unstructured data sources, working closely with data engineers and analysts to deliver actionable insights. Apply responsible AI principles, ensuring fairness, transparency, explainability, security and compliance throughout the AI solution lifecycle. Collaborate with consultants, technical specialists and client stakeholders to understand operational challenges and translate them into practical, value-driven AI solutions. Contribute to technical proposals, demonstrations, proof-of-concepts and thought leadership activities that showcase Envitia's AI capabilities and support business growth. Stay current with emerging AI technologies, frameworks and best practices, identifying opportunities to enhance Envitia's capabilities and client offerings. Support knowledge sharing, mentoring and capability development across the AI team, wider Consulting function and AI Community of Practice. Experience Required Essential Strong Python programming and hands-on experience with core ML/AI libraries (for example scikit-learn, TensorFlow, PyTorch). Practical experience developing, training and evaluating machine learning, NLP and predictive models. Experience deploying AI/ML in the cloud, particularly Microsoft Azure (Azure AI/ML, Azure AI Foundry / Azure OpenAI). Working knowledge of Generative AI / large language models and prompt engineering applied to practical use cases. Understanding of MLOps practices for model deployment, monitoring and lifecycle management. Solid data engineering skills across structured and unstructured data, with awareness of responsible AI, data governance and security; strong communication skills for technical and non-technical audiences. Desirable Experience in a consulting or client-facing delivery environment. Exposure to data visualisation (Power BI, Tableau) and rapid front-end prototyping (Streamlit, Flask, Django, Figma). Experience working with geospatial data. Experience delivering within the UK public sector, Defence or National Security. Exposure to Databricks and/or Snowflake. A relevant degree (Computer Science, Data Science, AI/ML or related) or equivalent practical experience. Security Clearance Requirements The successful candidate must be eligible to obtain and maintain a SC level security clearance. Location The role will require travel to our Horsham offices 2 days a month as well as travel to customer sites in the UK when required. What it's like to work at Envitia At Envitia, we believe that our greatest asset is our people. We're committed to fostering a work environment where every employee feels valued, supported, and motivated to excel. Our comprehensive benefits package is designed to enhance both your professional and personal wellbeing, including: Annual Leave: 25 days plus your birthday off, with the ability to buy or sell up to five additional days Private Healthcare: Comprehensive coverage with additional options for family members Training & Skills Development: Ongoing learning opportunities to help you advance your career Fitness Reimbursement: Support for gym memberships or fitness-related expenses Life Assurance: Extensive life insurance coverage for peace of mind Pension Contribution: Competitive options to help you plan for a secure financial future Perkbox Subscription: Discounts on a wide range of products and services Flexible Work Arrangements: Designed to support work-life balance and personal commitments Internal Reward Schemes: Recognition initiatives to celebrate your contributions and achievements Community Engagement & Volunteering: Opportunities to support meaningful causes through company-sponsored programs Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work-life balance. If you require any accommodations during the application or interview process, please let us know.
Jul 14, 2026
Full time
hackajob is collaborating with Envitia to connect them with exceptional professionals for this role. Envitia is a UK-based data and digital consultancy, delivering high-impact transformation services that help organisations unlock the full value of their data. With over 30 years of experience, we combine deep technical expertise with a strong consulting approach, working in close partnership with our clients to solve complex, mission-critical challenges and deliver measurable business outcomes. Our consulting teams operate at the heart of some of the UK's most critical programmes, partnering with Central Government, Defence, and National Security organisations. We act as trusted advisors-shaping strategy, defining architectures, and leading transformation initiatives that enable our clients to harness data, from geospatial intelligence through to advanced analytics and AI. At Envitia, consulting is about more than delivery, it's about influence, impact, and long-term partnership. You'll be part of a growing, collaborative consulting practice that is focused on delivering real value, building enduring client relationships, and shaping the future of data-driven decision-making in complex environments. We're also proud to have been named one of The Sunday Times Top 100 Medium-Sized Companies, a reflection of our commitment to innovation, collaboration, and creating an environment where our people can thrive. The Role Envitia is looking for an AI/ML Senior Consultant to join our growing AI team within the Consulting function. In this role, you will design, build and deploy scalable, responsible AI and machine learning solutions that help our UK public sector clients across Defence, Government and Security / Intelligence unlock greater value from their data. Your work will transform complex information into trusted insights, decision-support tools and operational advantage. This is a hands-on delivery role working across a variety of client engagements, from machine learning and predictive analytics through to cutting-edge Generative AI applications. You will develop production-ready AI solutions, contribute to the evolution of our MLOps capabilities and reusable accelerators, and help shape innovative proof-of-concepts and client proposals that showcase Envitia's AI expertise. Working within multidisciplinary teams, you will collaborate closely with data engineers, software engineers, analysts, visualisation specialists and consultants, supported by a developing AI Community of Practice. Typical engagements include: Designing, developing and deploying machine learning and AI solutions to solve complex operational challenges. Developing scalable data pipelines and AI services that transform structured and unstructured data into actionable insights. Implementing MLOps practices to support model deployment, monitoring, governance and continuous improvement. Applying Natural Language Processing (NLP), predictive analytics and decision-support techniques to mission-critical use cases. Developing API-driven AI services and integrating AI capabilities into enterprise and operational systems. Delivering cloud-native and containerised AI solutions within secure environments. Working with clients to identify opportunities for AI adoption and translate business challenges into practical technical solutions. Responsibilities Design, develop, train and deploy machine learning and AI models, including predictive analytics, natural language processing (NLP), computer vision and Generative AI solutions, to support client mission and business outcomes. Build scalable, reusable AI products, accelerators and solution components that can be deployed across multiple client engagements, improving delivery efficiency and consistency. Develop and integrate Generative AI and large language model (LLM) capabilities using platforms such as Azure AI Foundry and Azure OpenAI, ensuring solutions are secure, responsible and aligned to client requirements. Implement and continuously improve MLOps practices, including model deployment, monitoring, governance, retraining and lifecycle management, to ensure reliable production operation of AI systems. Engineer features, datasets and data pipelines across structured and unstructured data sources, working closely with data engineers and analysts to deliver actionable insights. Apply responsible AI principles, ensuring fairness, transparency, explainability, security and compliance throughout the AI solution lifecycle. Collaborate with consultants, technical specialists and client stakeholders to understand operational challenges and translate them into practical, value-driven AI solutions. Contribute to technical proposals, demonstrations, proof-of-concepts and thought leadership activities that showcase Envitia's AI capabilities and support business growth. Stay current with emerging AI technologies, frameworks and best practices, identifying opportunities to enhance Envitia's capabilities and client offerings. Support knowledge sharing, mentoring and capability development across the AI team, wider Consulting function and AI Community of Practice. Experience Required Essential Strong Python programming and hands-on experience with core ML/AI libraries (for example scikit-learn, TensorFlow, PyTorch). Practical experience developing, training and evaluating machine learning, NLP and predictive models. Experience deploying AI/ML in the cloud, particularly Microsoft Azure (Azure AI/ML, Azure AI Foundry / Azure OpenAI). Working knowledge of Generative AI / large language models and prompt engineering applied to practical use cases. Understanding of MLOps practices for model deployment, monitoring and lifecycle management. Solid data engineering skills across structured and unstructured data, with awareness of responsible AI, data governance and security; strong communication skills for technical and non-technical audiences. Desirable Experience in a consulting or client-facing delivery environment. Exposure to data visualisation (Power BI, Tableau) and rapid front-end prototyping (Streamlit, Flask, Django, Figma). Experience working with geospatial data. Experience delivering within the UK public sector, Defence or National Security. Exposure to Databricks and/or Snowflake. A relevant degree (Computer Science, Data Science, AI/ML or related) or equivalent practical experience. Security Clearance Requirements The successful candidate must be eligible to obtain and maintain a SC level security clearance. Location The role will require travel to our Horsham offices 2 days a month as well as travel to customer sites in the UK when required. What it's like to work at Envitia At Envitia, we believe that our greatest asset is our people. We're committed to fostering a work environment where every employee feels valued, supported, and motivated to excel. Our comprehensive benefits package is designed to enhance both your professional and personal wellbeing, including: Annual Leave: 25 days plus your birthday off, with the ability to buy or sell up to five additional days Private Healthcare: Comprehensive coverage with additional options for family members Training & Skills Development: Ongoing learning opportunities to help you advance your career Fitness Reimbursement: Support for gym memberships or fitness-related expenses Life Assurance: Extensive life insurance coverage for peace of mind Pension Contribution: Competitive options to help you plan for a secure financial future Perkbox Subscription: Discounts on a wide range of products and services Flexible Work Arrangements: Designed to support work-life balance and personal commitments Internal Reward Schemes: Recognition initiatives to celebrate your contributions and achievements Community Engagement & Volunteering: Opportunities to support meaningful causes through company-sponsored programs Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work-life balance. If you require any accommodations during the application or interview process, please let us know.
A Snapshot of Your Day As a Plant Maintenance Electrician, you will play a key role in ensuring the reliability and safety of electrical systems across the manufacturing site. Your day will involve fault finding, repair, and maintenance of a wide range of plant and equipment, supporting efficient production and minimising downtime. You'll work both independently and as part of a skilled maintenance team, contributing to a high-performing and safety-focused environment. How You'll Make an Impact Plan and execute assigned maintenance projects and electrical repairs. Diagnose and resolve technical issues on site, ensuring minimal disruption to operations. Carry out installation, testing, and servicing of electrical plant and equipment up to 415V, and support work on equipment up to 6600V. Perform fault finding on electrical and electronic circuits and systems. Read, interpret, and work from electrical/electronic circuit diagrams. Conduct testing of electrical installations to current regulations. Support the setup and commissioning of machinery and equipment for production. Contribute to installation projects and collaborate with Industrial Engineers. Maintain accurate technical documentation for processes and equipment. Provide technical guidance and support to junior team members where required. What You Bring Time-served Electrical Modern Apprenticeship (NVQ Level 2 and 3 plus Technical Certificate C&G/ONC/HNC) or equivalent qualifications. Post-apprenticeship experience in an engineering or industrial environment. Full working knowledge of B.S. 7671 "18th Edition Wiring Regulations" and "Electricity at Work Regulations" 1989. Proven experience in whole plant maintenance, ideally with an NVQ Level 3 in Engineering Maintenance. Extensive fault-finding skills on electrical and electronic circuits. Experience with PLC systems and CNC machine tool repair. Competent IT skills for use with computer-based test equipment. Mechanically multi-skilled with a safety-first mindset. Ability to work independently and collaboratively within a fast-paced manufacturing environment. About the Team Our Gas Services division offers low-emission power generation through service and decarbonisation. This includes zero or low-emission power generation, along with all gas turbines, steam turbines, and generators under one roof. We provide decarbonisation opportunities through service offerings, modernisation, and digitalisation of the fleet. Who is Siemens Energy? At Siemens Energy, we are more than just an energy technology company. With 100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one-sixth of the world's electricity generation. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonisation, new technologies, and energy transformation. Find out how you can make a difference at Siemens Energy: Our Commitment to Diversity Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion, and our combined creative energy is fuelled by over 130 nationalities. Siemens Energy celebrates character - no matter what ethnic background, gender, age, religion, identity, or disability. We energise society, all of society, and we do not discriminate based on our differences. Rewards/Benefits 26 days holiday, increasing to 29 days with time served. Access to a flexible benefits portal for private medical cover, cycle-to-work schemes, and more. A class-leading adjustable pension scheme. Opportunities for career development and continuous learning. The chance to work on cutting-edge projects that shape the future of Siemens Energy and manufacturing.
Oct 08, 2025
Full time
A Snapshot of Your Day As a Plant Maintenance Electrician, you will play a key role in ensuring the reliability and safety of electrical systems across the manufacturing site. Your day will involve fault finding, repair, and maintenance of a wide range of plant and equipment, supporting efficient production and minimising downtime. You'll work both independently and as part of a skilled maintenance team, contributing to a high-performing and safety-focused environment. How You'll Make an Impact Plan and execute assigned maintenance projects and electrical repairs. Diagnose and resolve technical issues on site, ensuring minimal disruption to operations. Carry out installation, testing, and servicing of electrical plant and equipment up to 415V, and support work on equipment up to 6600V. Perform fault finding on electrical and electronic circuits and systems. Read, interpret, and work from electrical/electronic circuit diagrams. Conduct testing of electrical installations to current regulations. Support the setup and commissioning of machinery and equipment for production. Contribute to installation projects and collaborate with Industrial Engineers. Maintain accurate technical documentation for processes and equipment. Provide technical guidance and support to junior team members where required. What You Bring Time-served Electrical Modern Apprenticeship (NVQ Level 2 and 3 plus Technical Certificate C&G/ONC/HNC) or equivalent qualifications. Post-apprenticeship experience in an engineering or industrial environment. Full working knowledge of B.S. 7671 "18th Edition Wiring Regulations" and "Electricity at Work Regulations" 1989. Proven experience in whole plant maintenance, ideally with an NVQ Level 3 in Engineering Maintenance. Extensive fault-finding skills on electrical and electronic circuits. Experience with PLC systems and CNC machine tool repair. Competent IT skills for use with computer-based test equipment. Mechanically multi-skilled with a safety-first mindset. Ability to work independently and collaboratively within a fast-paced manufacturing environment. About the Team Our Gas Services division offers low-emission power generation through service and decarbonisation. This includes zero or low-emission power generation, along with all gas turbines, steam turbines, and generators under one roof. We provide decarbonisation opportunities through service offerings, modernisation, and digitalisation of the fleet. Who is Siemens Energy? At Siemens Energy, we are more than just an energy technology company. With 100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one-sixth of the world's electricity generation. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonisation, new technologies, and energy transformation. Find out how you can make a difference at Siemens Energy: Our Commitment to Diversity Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion, and our combined creative energy is fuelled by over 130 nationalities. Siemens Energy celebrates character - no matter what ethnic background, gender, age, religion, identity, or disability. We energise society, all of society, and we do not discriminate based on our differences. Rewards/Benefits 26 days holiday, increasing to 29 days with time served. Access to a flexible benefits portal for private medical cover, cycle-to-work schemes, and more. A class-leading adjustable pension scheme. Opportunities for career development and continuous learning. The chance to work on cutting-edge projects that shape the future of Siemens Energy and manufacturing.
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Strong knowledge of data engineering tools such as Python, R and SQL for data processing. Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Strong proficiency with relational databases. Strong background in data modeling and database design. Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Familiarity with Containerization such as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Oct 04, 2025
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Strong knowledge of data engineering tools such as Python, R and SQL for data processing. Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Strong proficiency with relational databases. Strong background in data modeling and database design. Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Familiarity with Containerization such as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Strong knowledge of data engineering tools such as Python, R and SQL for data processing. Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Strong proficiency with relational databases. Strong background in data modeling and database design. Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Familiarity with Containerization such as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Oct 04, 2025
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Strong knowledge of data engineering tools such as Python, R and SQL for data processing. Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Strong proficiency with relational databases. Strong background in data modeling and database design. Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Familiarity with Containerization such as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Strong knowledge of data engineering tools such as Python, R and SQL for data processing. Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Strong proficiency with relational databases. Strong background in data modeling and database design. Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Familiarity with Containerization such as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Oct 04, 2025
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Strong knowledge of data engineering tools such as Python, R and SQL for data processing. Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Strong proficiency with relational databases. Strong background in data modeling and database design. Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Familiarity with Containerization such as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
