Senior AI Engineer Location: UK Remote (UK-based candidates only) Salary: 60,000 - 70,000 Employment Type: Full-Time Please note: Sponsorship is not available for this position. Overview A growing organisation is looking for a Senior AI Engineer to help design, build, and scale production-grade AI systems and data platforms used across enterprise environments. This is an opportunity to join a collaborative engineering function focused on building robust AI pipelines, transformation APIs, and scalable backend services that support advanced analytics and machine learning products. The Role As a Senior AI Engineer, you will work closely with Data Scientists and cross-functional technical teams to productionise machine learning models and develop high-performance AI services. You'll contribute across the full engineering lifecycle-from system design and integration through to deployment, monitoring, and optimisation within cloud-native environments. Key Responsibilities Design and maintain scalable AI pipelines and processing workflows Develop and optimise RESTful APIs and microservices for AI services Build cloud-native backend systems aligned with best engineering practices Collaborate with Data Scientists to productionise ML models Improve system performance, observability, reliability, and security Contribute to CI/CD pipelines, automated testing, and infrastructure automation Support integration and interoperability across enterprise platforms Translate technical requirements into scalable, maintainable solutions Required Skills & Experience Strong experience in backend, data, or ML engineering Advanced Python skills and experience with FastAPI, Flask, or Django Experience building scalable APIs and microservices Strong SQL and relational database knowledge (PostgreSQL preferred) Experience with AWS and/or Azure cloud environments Understanding of distributed systems and scalable architectures Exposure to machine learning, NLP, or AI-driven systems Experience with CI/CD pipelines, testing, and containerisation Strong problem-solving and communication skills Technology Stack Python, SQL, FastAPI, PyTorch, Transformers/LLMs, Terraform, Databricks, Kubernetes, AWS, Azure, PostgreSQL, Kafka, Git, CI/CD, Knowledge Graphs What's on Offer Fully remote working within the UK Opportunity to work on cutting-edge AI and machine learning systems Collaborative engineering environment Exposure to modern cloud and AI technologies Strong career growth opportunities within a growing AI function
Jul 09, 2026
Full time
Senior AI Engineer Location: UK Remote (UK-based candidates only) Salary: 60,000 - 70,000 Employment Type: Full-Time Please note: Sponsorship is not available for this position. Overview A growing organisation is looking for a Senior AI Engineer to help design, build, and scale production-grade AI systems and data platforms used across enterprise environments. This is an opportunity to join a collaborative engineering function focused on building robust AI pipelines, transformation APIs, and scalable backend services that support advanced analytics and machine learning products. The Role As a Senior AI Engineer, you will work closely with Data Scientists and cross-functional technical teams to productionise machine learning models and develop high-performance AI services. You'll contribute across the full engineering lifecycle-from system design and integration through to deployment, monitoring, and optimisation within cloud-native environments. Key Responsibilities Design and maintain scalable AI pipelines and processing workflows Develop and optimise RESTful APIs and microservices for AI services Build cloud-native backend systems aligned with best engineering practices Collaborate with Data Scientists to productionise ML models Improve system performance, observability, reliability, and security Contribute to CI/CD pipelines, automated testing, and infrastructure automation Support integration and interoperability across enterprise platforms Translate technical requirements into scalable, maintainable solutions Required Skills & Experience Strong experience in backend, data, or ML engineering Advanced Python skills and experience with FastAPI, Flask, or Django Experience building scalable APIs and microservices Strong SQL and relational database knowledge (PostgreSQL preferred) Experience with AWS and/or Azure cloud environments Understanding of distributed systems and scalable architectures Exposure to machine learning, NLP, or AI-driven systems Experience with CI/CD pipelines, testing, and containerisation Strong problem-solving and communication skills Technology Stack Python, SQL, FastAPI, PyTorch, Transformers/LLMs, Terraform, Databricks, Kubernetes, AWS, Azure, PostgreSQL, Kafka, Git, CI/CD, Knowledge Graphs What's on Offer Fully remote working within the UK Opportunity to work on cutting-edge AI and machine learning systems Collaborative engineering environment Exposure to modern cloud and AI technologies Strong career growth opportunities within a growing AI function
Data Scientist North West or London, Hybrid Up to 70,000 What if your next role wasn't about maintaining someone else's models? What if you joined at the beginning, built the foundations, owned your work, and helped shape the future of an entire Data Science function? That's exactly what this opportunity offers. We're working with a growing insurance business investing heavily in data, pricing and machine learning. They have built the platform. Now they're looking for a Data Scientist who wants to build what comes next. This is a genuine greenfield role. You'll work directly with the Head of, developing production machine learning models, improving pricing capability and helping create the company's long-term Data Science strategy. If you're looking for ownership instead of layers of bureaucracy, this role is worth a conversation. What you'll be doing Build production machine learning models from scratch. Develop pricing and customer behaviour models. Improve existing Lifetime Value (LTV) models. Deploy models into production using Python. Work across pricing, marketing, claims and customer analytics. Analyse model performance and continuously improve accuracy. Help shape future MLOps capability. Work closely with stakeholders across the business. What we're looking for Commercial experience as a Data Scientist. Strong Python and SQL skills. Experience building and deploying machine learning models. Strong statistical and analytical skills. Someone who enjoys solving complex business problems. Excellent communication skills and the confidence to work with technical and non-technical stakeholders. A naturally curious person who enjoys learning new technologies. Nice to have Insurance, financial services or pricing experience. Customer behaviour modelling. MLOps exposure. Databricks. Azure Why join? Genuine greenfield environment. High level of ownership from day one. Work directly with senior leadership. Opportunity to influence the technical direction of the business. Modern Microsoft technology stack including Azure and Databricks. Clear progression as the Data function grows. If you're looking for a role where your work will have visible impact, rather than becoming another cog in a large Data Science team, we'd love to speak with you. Apply today or contact Ben at Maxwell Bond for a confidential conversation.
Jul 09, 2026
Full time
Data Scientist North West or London, Hybrid Up to 70,000 What if your next role wasn't about maintaining someone else's models? What if you joined at the beginning, built the foundations, owned your work, and helped shape the future of an entire Data Science function? That's exactly what this opportunity offers. We're working with a growing insurance business investing heavily in data, pricing and machine learning. They have built the platform. Now they're looking for a Data Scientist who wants to build what comes next. This is a genuine greenfield role. You'll work directly with the Head of, developing production machine learning models, improving pricing capability and helping create the company's long-term Data Science strategy. If you're looking for ownership instead of layers of bureaucracy, this role is worth a conversation. What you'll be doing Build production machine learning models from scratch. Develop pricing and customer behaviour models. Improve existing Lifetime Value (LTV) models. Deploy models into production using Python. Work across pricing, marketing, claims and customer analytics. Analyse model performance and continuously improve accuracy. Help shape future MLOps capability. Work closely with stakeholders across the business. What we're looking for Commercial experience as a Data Scientist. Strong Python and SQL skills. Experience building and deploying machine learning models. Strong statistical and analytical skills. Someone who enjoys solving complex business problems. Excellent communication skills and the confidence to work with technical and non-technical stakeholders. A naturally curious person who enjoys learning new technologies. Nice to have Insurance, financial services or pricing experience. Customer behaviour modelling. MLOps exposure. Databricks. Azure Why join? Genuine greenfield environment. High level of ownership from day one. Work directly with senior leadership. Opportunity to influence the technical direction of the business. Modern Microsoft technology stack including Azure and Databricks. Clear progression as the Data function grows. If you're looking for a role where your work will have visible impact, rather than becoming another cog in a large Data Science team, we'd love to speak with you. Apply today or contact Ben at Maxwell Bond for a confidential conversation.
Senior Data Scientist Salary: 85K - 95K Location: London (Hybrid - 3 days per week) Data Idols are working with an ambitious early-stage technology company that is building a machine learning platform capable of solving complex behavioural prediction problems at scale. Already working with paying customers and backed by experienced founders with a successful track record of building and exiting technology businesses, they're now looking for a Senior Data Scientist to own one of the most important parts of the company. The Opportunity This isn't a role where you'll optimise an existing model or become another specialist in a large data science team. You'll be responsible for designing and building the machine learning capability at the heart of the business. Rather than creating a single predictive model, you'll develop automated systems capable of generating, deploying and continuously improving bespoke machine learning models for every customer. You'll work with large-scale behavioural event data, applying machine learning, feature engineering and experimentation to improve prediction accuracy and drive measurable customer outcomes. Working alongside highly experienced founders and recognised experts in machine learning, you'll have the opportunity to influence product strategy, shape technical direction and establish best practices from day one. This is a genuine ownership role where your work will have a direct impact on both the product and the future success of the business. Skills & Experience Strong commercial experience building machine learning models in Python Excellent understanding of predictive modelling, classification or propensity modelling Experience with feature engineering, model evaluation and experimentation Comfortable working across the full machine learning lifecycle Experience working with cloud platforms and modern ML tooling Curious and analytical mindset If you're looking for a role where you'll solve genuinely difficult machine learning challenges, build something from the ground up and see the direct impact of your work, we'd love to hear from you. Senior Data Scientist
Jul 09, 2026
Full time
Senior Data Scientist Salary: 85K - 95K Location: London (Hybrid - 3 days per week) Data Idols are working with an ambitious early-stage technology company that is building a machine learning platform capable of solving complex behavioural prediction problems at scale. Already working with paying customers and backed by experienced founders with a successful track record of building and exiting technology businesses, they're now looking for a Senior Data Scientist to own one of the most important parts of the company. The Opportunity This isn't a role where you'll optimise an existing model or become another specialist in a large data science team. You'll be responsible for designing and building the machine learning capability at the heart of the business. Rather than creating a single predictive model, you'll develop automated systems capable of generating, deploying and continuously improving bespoke machine learning models for every customer. You'll work with large-scale behavioural event data, applying machine learning, feature engineering and experimentation to improve prediction accuracy and drive measurable customer outcomes. Working alongside highly experienced founders and recognised experts in machine learning, you'll have the opportunity to influence product strategy, shape technical direction and establish best practices from day one. This is a genuine ownership role where your work will have a direct impact on both the product and the future success of the business. Skills & Experience Strong commercial experience building machine learning models in Python Excellent understanding of predictive modelling, classification or propensity modelling Experience with feature engineering, model evaluation and experimentation Comfortable working across the full machine learning lifecycle Experience working with cloud platforms and modern ML tooling Curious and analytical mindset If you're looking for a role where you'll solve genuinely difficult machine learning challenges, build something from the ground up and see the direct impact of your work, we'd love to hear from you. Senior Data Scientist
Data Analytics Engineer Hybrid Basingstoke We're working with a growing financial services business looking to bring in a Data Analytics Engineer to help build out their data platform from the ground up. You'll own the end-to-end lifecycle of data products - ingestion, modelling and presentation - working closely with stakeholders across the business to turn raw data into something they can actually use and act on. What you'll be doing: Designing and building performant data ingestion pipelines using Apache Spark, ideally within Azure Databricks Contributing to the platform's data modelling and architecture Building dashboards and semantic models, and presenting these directly to stakeholders Working across the full pipeline from source systems to target repositories, with a strong focus on data quality Collaborating with Data Scientists to help productionise ML pipelines Operating within an Agile/DevOps environment What we're looking for: Strong SQL and Python skills Solid understanding of Lakehouse architecture and data management principles Hands-on experience with Azure (Data Factory, Databricks, Synapse, Storage, DevOps) Experience designing Star Schema data models for Power BI 5+ years' experience building data platforms in a commercial setting Nice to have: Real-time pipeline experience Azure Data Engineer certification Exposure to Kafka or other open-source tools Background in a regulated industry (finance/insurance) Details: 60,000 - 70,000 Permanent position Hybrid (Basingstoke)
Jul 08, 2026
Full time
Data Analytics Engineer Hybrid Basingstoke We're working with a growing financial services business looking to bring in a Data Analytics Engineer to help build out their data platform from the ground up. You'll own the end-to-end lifecycle of data products - ingestion, modelling and presentation - working closely with stakeholders across the business to turn raw data into something they can actually use and act on. What you'll be doing: Designing and building performant data ingestion pipelines using Apache Spark, ideally within Azure Databricks Contributing to the platform's data modelling and architecture Building dashboards and semantic models, and presenting these directly to stakeholders Working across the full pipeline from source systems to target repositories, with a strong focus on data quality Collaborating with Data Scientists to help productionise ML pipelines Operating within an Agile/DevOps environment What we're looking for: Strong SQL and Python skills Solid understanding of Lakehouse architecture and data management principles Hands-on experience with Azure (Data Factory, Databricks, Synapse, Storage, DevOps) Experience designing Star Schema data models for Power BI 5+ years' experience building data platforms in a commercial setting Nice to have: Real-time pipeline experience Azure Data Engineer certification Exposure to Kafka or other open-source tools Background in a regulated industry (finance/insurance) Details: 60,000 - 70,000 Permanent position Hybrid (Basingstoke)
AI/ML Engineer Up to 82,000 + Bonus + Outstanding Benefits + London/Hybrid If you're an AI Engineer who wants to build production AI solutions rather than endless proof of concepts, this is an opportunity to help shape how enterprise AI is adopted across a global organisation. You'll be responsible for designing, deploying and optimising machine learning models, LLM-powered applications and agentic AI workflows within Microsoft Azure. Working alongside platform engineers, data scientists and data engineers, you'll help move AI from experimentation into secure, scalable products that deliver real business value. This is an engineering role with genuine ownership. You'll be involved throughout the AI lifecycle, from designing and deploying solutions through to monitoring, optimisation and governance. You'll also work with modern AI technologies and help influence how they're adopted across the wider business. You'll be working with technologies including Azure Databricks, Azure Machine Learning, Azure AI Foundry, LangChain, LangGraph and Python, building enterprise AI applications using RAG, vector databases, prompt orchestration and tool-calling patterns. You'll need experience with: Deploying LLMs and machine learning models into Azure enterprise environments. Azure Databricks, Azure Machine Learning and ideally Azure AI Foundry. Building production AI applications using LangChain, LangGraph and Python. MLOps / LLMOps including deployment, monitoring, governance and lifecycle management. RAG, vector databases, prompt engineering and tool-calling patterns. Building end-to-end AI/ML pipelines from data preparation through to production. Working with technical and business stakeholders to deliver AI solutions. Desirable experience includes MLflow, MCP, Docker, Kubernetes, GitLab CI/CD and Azure Data Factory. What's on offer Up to 82,000 salary Annual performance bonus 28 days' holiday plus bank holidays, with the option to buy more Private medical insurance Excellent pension, life assurance and a flexible benefits package If you're already working in AI and want to spend more time building modern, production-ready LLM and agentic AI solutions using one of the strongest Azure AI stacks available, this role offers the chance to make a genuine impact while continuing to develop with a fast-moving technology landscape.
Jul 08, 2026
Full time
AI/ML Engineer Up to 82,000 + Bonus + Outstanding Benefits + London/Hybrid If you're an AI Engineer who wants to build production AI solutions rather than endless proof of concepts, this is an opportunity to help shape how enterprise AI is adopted across a global organisation. You'll be responsible for designing, deploying and optimising machine learning models, LLM-powered applications and agentic AI workflows within Microsoft Azure. Working alongside platform engineers, data scientists and data engineers, you'll help move AI from experimentation into secure, scalable products that deliver real business value. This is an engineering role with genuine ownership. You'll be involved throughout the AI lifecycle, from designing and deploying solutions through to monitoring, optimisation and governance. You'll also work with modern AI technologies and help influence how they're adopted across the wider business. You'll be working with technologies including Azure Databricks, Azure Machine Learning, Azure AI Foundry, LangChain, LangGraph and Python, building enterprise AI applications using RAG, vector databases, prompt orchestration and tool-calling patterns. You'll need experience with: Deploying LLMs and machine learning models into Azure enterprise environments. Azure Databricks, Azure Machine Learning and ideally Azure AI Foundry. Building production AI applications using LangChain, LangGraph and Python. MLOps / LLMOps including deployment, monitoring, governance and lifecycle management. RAG, vector databases, prompt engineering and tool-calling patterns. Building end-to-end AI/ML pipelines from data preparation through to production. Working with technical and business stakeholders to deliver AI solutions. Desirable experience includes MLflow, MCP, Docker, Kubernetes, GitLab CI/CD and Azure Data Factory. What's on offer Up to 82,000 salary Annual performance bonus 28 days' holiday plus bank holidays, with the option to buy more Private medical insurance Excellent pension, life assurance and a flexible benefits package If you're already working in AI and want to spend more time building modern, production-ready LLM and agentic AI solutions using one of the strongest Azure AI stacks available, this role offers the chance to make a genuine impact while continuing to develop with a fast-moving technology landscape.
Working Environment You'll operate in production-focused environments where platform usability and operational excellence matter. The work sits at the intersection of platform engineering, DevOps and MLOps, with close collaboration across data science, ML engineering, software engineering and architecture. The role requires comfort working 'in the weeds' - understanding how platforms behave under real workloads, and designing guardrails that balance flexibility for users with reliability, security and governance. What You'll Be Doing - Provide technical leadership across platform engineering, DevOps, and MLOps activities - Design, build, and operate a Kubernetes-based MLOps platform that supports the full model lifecycle - Implement and operate MLOps tooling and frameworks enabling teams to build, train, deploy, and serve models - Develop and support model serving and inference capabilities within Kubernetes environments - Implement workflows that support model experimentation (including notebooks), packaging, deployment and versioning - Enable scalable inference and LLM-based workloads, including serving and optimisation considerations - Work with data scientists and ML engineers to ensure the platform is usable, well documented and fit for purpose - Own platform operability, reliability, security and supportability in live production environments - Troubleshoot complex platform, workload and deployment issues across Kubernetes and MLOps layers - Contribute to architectural decisions while remaining deeply hands-on in delivery Your Experience To be successful in this role, you will bring: - Strong experience as a Senior or Lead Platform Engineer / DevOps Engineer - Deep hands-on experience building and operating Kubernetes-based platforms - Strong practical experience using Helm and infrastructure-as-code tools such as Terraform - Proven experience extending Kubernetes with higher-level platforms and services, rather than treating it as an end in itself - Strong understanding of operational concerns: monitoring, logging, incident response, reliability and maintenance - Confidence working directly with engineers and data scientists to support real workloads in production MLOps experience is highly desirable, including exposure to tools and patterns such as: - Building MLOps platforms using frameworks such as Kubeflow (or comparable approaches) - Operating model serving and inference platforms (e.g. KServe, vLLM, or comparable solutions) - Supporting LLM-based workloads, including optimisation and serving considerations - Providing notebook-based development environments (e.g. JupyterHub) within secure platforms - Exposure to emerging tooling such as InstructLab, trustworthy AI tooling, or equivalent approaches In Return You'll play a key role in enabling AI delivery at scale by building platforms that other engineers and data scientists actually want to use. This is an opportunity to lead technically, shape a practical MLOps platform, and own operational outcomes in production environments where reliability and usability matter. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.
Jul 08, 2026
Contractor
Working Environment You'll operate in production-focused environments where platform usability and operational excellence matter. The work sits at the intersection of platform engineering, DevOps and MLOps, with close collaboration across data science, ML engineering, software engineering and architecture. The role requires comfort working 'in the weeds' - understanding how platforms behave under real workloads, and designing guardrails that balance flexibility for users with reliability, security and governance. What You'll Be Doing - Provide technical leadership across platform engineering, DevOps, and MLOps activities - Design, build, and operate a Kubernetes-based MLOps platform that supports the full model lifecycle - Implement and operate MLOps tooling and frameworks enabling teams to build, train, deploy, and serve models - Develop and support model serving and inference capabilities within Kubernetes environments - Implement workflows that support model experimentation (including notebooks), packaging, deployment and versioning - Enable scalable inference and LLM-based workloads, including serving and optimisation considerations - Work with data scientists and ML engineers to ensure the platform is usable, well documented and fit for purpose - Own platform operability, reliability, security and supportability in live production environments - Troubleshoot complex platform, workload and deployment issues across Kubernetes and MLOps layers - Contribute to architectural decisions while remaining deeply hands-on in delivery Your Experience To be successful in this role, you will bring: - Strong experience as a Senior or Lead Platform Engineer / DevOps Engineer - Deep hands-on experience building and operating Kubernetes-based platforms - Strong practical experience using Helm and infrastructure-as-code tools such as Terraform - Proven experience extending Kubernetes with higher-level platforms and services, rather than treating it as an end in itself - Strong understanding of operational concerns: monitoring, logging, incident response, reliability and maintenance - Confidence working directly with engineers and data scientists to support real workloads in production MLOps experience is highly desirable, including exposure to tools and patterns such as: - Building MLOps platforms using frameworks such as Kubeflow (or comparable approaches) - Operating model serving and inference platforms (e.g. KServe, vLLM, or comparable solutions) - Supporting LLM-based workloads, including optimisation and serving considerations - Providing notebook-based development environments (e.g. JupyterHub) within secure platforms - Exposure to emerging tooling such as InstructLab, trustworthy AI tooling, or equivalent approaches In Return You'll play a key role in enabling AI delivery at scale by building platforms that other engineers and data scientists actually want to use. This is an opportunity to lead technically, shape a practical MLOps platform, and own operational outcomes in production environments where reliability and usability matter. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.
Working Environment You'll typically work across two projects at a time, often with different technical leads, giving you both variety and continuity. The environment values curiosity, evidence-based thinking, and the confidence to question assumptions constructively. Data scientists work within established delivery frameworks and collaborate closely with engineers, analysts and product-focused teams. Learning happens through doing, supported by an experienced and inclusive data science community. What You'll Be Doing - Contribute to the design, analysis and build of data science solutions addressing real business and operational problems - Apply statistical, mathematical and scientific approaches to explore data, test hypotheses and support decision-making - Write and maintain Python code to support data preparation, analysis and modelling - Work with production data pipelines, contributing to the data engineering tasks needed to support analytics and models - Support responsible data use, including privacy, ethical considerations and appropriate handling throughout the lifecycle - Collaborate with more senior data scientists, learning through shared delivery - Communicate findings clearly to both technical and non-technical audiences - Contribute to shared documentation, standards and continuous improvement across the profession Your Experience To be successful in this role, you will bring: - Around 2-3 years' experience working as a Data Scientist or in a closely related analytical role - Strong Python skills, with experience contributing to shared codebases - A solid grounding in statistics, applied mathematics and scientific analysis techniques - Experience working with real-world datasets, including cleaning, validation and exploratory analysis - Understanding of how data science moves from experimentation into practical use - Awareness of ethical considerations and responsible data practices - Willingness to learn, accept feedback and engage constructively with challenge In Return You'll join a supportive, high-quality data science profession where learning is embedded in day-to-day delivery. This is an opportunity to build confidence, expand your technical portfolio and contribute to meaningful work, while being supported to grow in capability and responsibility over time. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.
Jul 08, 2026
Contractor
Working Environment You'll typically work across two projects at a time, often with different technical leads, giving you both variety and continuity. The environment values curiosity, evidence-based thinking, and the confidence to question assumptions constructively. Data scientists work within established delivery frameworks and collaborate closely with engineers, analysts and product-focused teams. Learning happens through doing, supported by an experienced and inclusive data science community. What You'll Be Doing - Contribute to the design, analysis and build of data science solutions addressing real business and operational problems - Apply statistical, mathematical and scientific approaches to explore data, test hypotheses and support decision-making - Write and maintain Python code to support data preparation, analysis and modelling - Work with production data pipelines, contributing to the data engineering tasks needed to support analytics and models - Support responsible data use, including privacy, ethical considerations and appropriate handling throughout the lifecycle - Collaborate with more senior data scientists, learning through shared delivery - Communicate findings clearly to both technical and non-technical audiences - Contribute to shared documentation, standards and continuous improvement across the profession Your Experience To be successful in this role, you will bring: - Around 2-3 years' experience working as a Data Scientist or in a closely related analytical role - Strong Python skills, with experience contributing to shared codebases - A solid grounding in statistics, applied mathematics and scientific analysis techniques - Experience working with real-world datasets, including cleaning, validation and exploratory analysis - Understanding of how data science moves from experimentation into practical use - Awareness of ethical considerations and responsible data practices - Willingness to learn, accept feedback and engage constructively with challenge In Return You'll join a supportive, high-quality data science profession where learning is embedded in day-to-day delivery. This is an opportunity to build confidence, expand your technical portfolio and contribute to meaningful work, while being supported to grow in capability and responsibility over time. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.
Working Environment You will work in a high-trust, delivery-focused environment where technical quality, judgement and real-world impact are valued. The team operates collaboratively, sharing knowledge and learning through delivery rather than theory alone. You will be trusted to manage your own work, engage directly with customers and stakeholders, and take responsibility for outcomes. What You'll Be Doing - Design, build and deploy applied AI and data science solutions that deliver measurable impact - Own projects end-to-end, including problem definition, technical delivery and stakeholder engagement - Work directly with users and customers to understand real-world needs and translate them into well-defined AI problems - Apply modern AI and machine learning techniques using strong Python engineering skills - Build solutions that can operate in secure, constrained or offline environments without reliance on external services - Consider performance, scalability and resilience when deploying AI into operational systems - Influence technical direction through evidence, communication and delivery results - Share knowledge and support learning across the wider data science community Your Experience To be successful in this role, you will bring: - Strong, demonstrable experience as an Applied AI Scientist, Data Scientist or similar hands-on technical role - Excellent Python skills, with the ability to write clean, efficient, production-quality code - Experience developing and deploying AI solutions outside of fully managed cloud services - Solid understanding of modern AI and machine learning techniques - Experience working with imperfect, real-world data and operational constraints - Confidence owning work end-to-end and managing your own delivery - The ability to influence technical decisions without formal authority In Return You'll join an experienced and collaborative team working on meaningful, production-focused AI problems rather than isolated experimentation. This is an opportunity to apply your skills where judgement, pragmatism and technical quality genuinely matter, and to grow your influence through delivery rather than management responsibility. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.
Jul 08, 2026
Contractor
Working Environment You will work in a high-trust, delivery-focused environment where technical quality, judgement and real-world impact are valued. The team operates collaboratively, sharing knowledge and learning through delivery rather than theory alone. You will be trusted to manage your own work, engage directly with customers and stakeholders, and take responsibility for outcomes. What You'll Be Doing - Design, build and deploy applied AI and data science solutions that deliver measurable impact - Own projects end-to-end, including problem definition, technical delivery and stakeholder engagement - Work directly with users and customers to understand real-world needs and translate them into well-defined AI problems - Apply modern AI and machine learning techniques using strong Python engineering skills - Build solutions that can operate in secure, constrained or offline environments without reliance on external services - Consider performance, scalability and resilience when deploying AI into operational systems - Influence technical direction through evidence, communication and delivery results - Share knowledge and support learning across the wider data science community Your Experience To be successful in this role, you will bring: - Strong, demonstrable experience as an Applied AI Scientist, Data Scientist or similar hands-on technical role - Excellent Python skills, with the ability to write clean, efficient, production-quality code - Experience developing and deploying AI solutions outside of fully managed cloud services - Solid understanding of modern AI and machine learning techniques - Experience working with imperfect, real-world data and operational constraints - Confidence owning work end-to-end and managing your own delivery - The ability to influence technical decisions without formal authority In Return You'll join an experienced and collaborative team working on meaningful, production-focused AI problems rather than isolated experimentation. This is an opportunity to apply your skills where judgement, pragmatism and technical quality genuinely matter, and to grow your influence through delivery rather than management responsibility. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.
Job Title: eDV Cleared Senior Data Engineer / Data Scientist (Security Cleared) Location: Preferably based in London, or with access to sites across Manchester, Cheltenham and Malvern Duration: Until March 2027 (Inside IR35) We're looking for a talented Data Engineer / Data Scientist to join a high-profile national security programme, helping to transform complex data into mission-critical insights. Working within secure environments, you'll design and deliver scalable data solutions using the Palantir platform to support intelligence, defence, and government operations. Key Skills & Experience Strong experience with the Palantir technology stack (Foundry, Gotham, AIP). Advanced SQL skills for large-scale data analysis and optimisation. Expertise in Data Modelling and designing scalable data architectures. Strong Python development skills for data engineering, analytics, and automation. Experience building and maintaining data pipelines and data platforms. Ability to work with sensitive and highly classified datasets. Strong stakeholder management and problem-solving skills. What You'll Be Doing Developing secure, scalable data pipelines and analytical solutions. Building data models and transforming complex datasets into actionable intelligence. Designing and delivering solutions within the Palantir ecosystem. Supporting critical national security, intelligence, and defence programmes. Collaborating with technical and operational teams to solve complex challenges. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Jul 08, 2026
Contractor
Job Title: eDV Cleared Senior Data Engineer / Data Scientist (Security Cleared) Location: Preferably based in London, or with access to sites across Manchester, Cheltenham and Malvern Duration: Until March 2027 (Inside IR35) We're looking for a talented Data Engineer / Data Scientist to join a high-profile national security programme, helping to transform complex data into mission-critical insights. Working within secure environments, you'll design and deliver scalable data solutions using the Palantir platform to support intelligence, defence, and government operations. Key Skills & Experience Strong experience with the Palantir technology stack (Foundry, Gotham, AIP). Advanced SQL skills for large-scale data analysis and optimisation. Expertise in Data Modelling and designing scalable data architectures. Strong Python development skills for data engineering, analytics, and automation. Experience building and maintaining data pipelines and data platforms. Ability to work with sensitive and highly classified datasets. Strong stakeholder management and problem-solving skills. What You'll Be Doing Developing secure, scalable data pipelines and analytical solutions. Building data models and transforming complex datasets into actionable intelligence. Designing and delivering solutions within the Palantir ecosystem. Supporting critical national security, intelligence, and defence programmes. Collaborating with technical and operational teams to solve complex challenges. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets. Client Details Leading international Manufacturing & Retail Company Description This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets. This is a cross-functional business role designed to support data-driven decision making across the entire organisation - including Finance, Merchandising, Creative, Licensing, Sales, Supply Chain, eCommerce, and Operations. The role will additionally support marketplace, eCommerce, and consumer insight initiatives to help drive commercial decision-making across retail and digital channels. The successful candidate will be responsible for transforming complex business data into actionable insights, building reporting frameworks, identifying trends and opportunities, and supporting leadership teams with strategic analysis and forecasting. The role will also play a key part in driving the company's adoption of AI technologies, automation, and modern analytics tools. Key Responsibilities: Analyse large and complex datasets across multiple platforms to identify trends, risks, opportunities, and operational improvements Develop and maintain dashboards, KPIs, and reporting suites using Power BI Support the Finance team with forecasting, budgeting, margin analysis, profitability reporting, and commercial insights Partner with Merchandising, Sales, Licensing, Creative, Supply Chain and Operations teams to provide analytical support and performance reporting Build predictive models and analytical tools to support strategic decision-making and business planning Drive the adoption of AI and automation solutions across the business to improve efficiency and insight generation Work with ERP and operational systems, including D365 Business Central, to extract, validate, and analyse data Improve data quality, governance, consistency, and reporting accuracy across departments to ensure one version of the truth Develop and maintain data pipelines and automated reporting processes where appropriate Present findings and recommendations clearly to senior leadership and operational stakeholders Support ongoing digital transformation initiatives across the business Ensure analytical work follows best practices around governance, security, and ethical AI usage Monitor and analyse eCommerce and marketplace KPIs including conversion rate, click-through rate (CTR), ACOS, TACOS, Buy Box performance, average selling price (ASP), keyword rankings, and inventory health metrics. Support eCommerce and marketplace advertising analysis, including Amazon Sponsored Ads performance, ROAS optimisation, campaign analysis, and budget efficiency reporting. Support data-driven optimisation of eCommerce product listings, keywords, digital content, and marketplace visibility to improve discoverability, conversion, and sales performance. Conduct competitor, pricing, and market analysis to identify trends, opportunities, and risks across eCommerce and retail channels. Apply predictive analytics and trend analysis to support demand forecasting, inventory planning, and commercial decision-making. Support testing and experimentation across pricing, advertising, promotions, and digital content strategies, using analytical insight to measure performance and recommend improvements. Work closely with merchandising, eCommerce, licensing, and marketing teams to provide commercially focused analytics and actionable insight. Profile Essential: Previous experience within a Data Scientist, Data Analyst, Business Intelligence, or Analytics role Strong analytical and problem-solving skills with commercial awareness Advanced Power BI capability, including dashboard creation, DAX, data modelling, and visualisation. Strong experience using SQL for querying and manipulating datasets Experience using AI tools, large language models (LLMs), and automation technologies to support analytics, reporting, and business insight generation. Experience working with ERP systems, preferably Microsoft Dynamics 365 Business Central (BC) and/or Syspro Understanding of AI, machine learning, automation tools, and modern analytics techniques Ability to interpret complex datasets and communicate findings clearly to non-technical stakeholders Excellent communication and stakeholder management skills Highly organised with the ability to manage multiple priorities in a fast-paced environment Experience working with eCommerce and marketplace analytics, preferably Amazon Seller Central and Amazon Advertising platforms. Understanding of eCommerce performance metrics including ROAS, ACOS, TACOS, conversion rate optimisation, keyword ranking, and digital traffic analysis. Experience translating commercial and marketplace data into actionable business insight. Desirable: Experience within a consumer products, retail, licensing, apparel, manufacturing, or distribution environment Experience with forecasting, demand planning, or supply chain analytics Experience developing AI-enabled business solutions or workflow automation Understanding of financial reporting and commercial finance concepts Degree qualified in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related quantitative discipline Experience with Amazon marketplace optimisation tools such as Helium 10. Experience using social listening and consumer insight platforms such as Meltwater. Experience within licensed apparel, consumer products, retail, eCommerce, or marketplace-driven businesses. Job Offer
Jul 08, 2026
Full time
This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets. Client Details Leading international Manufacturing & Retail Company Description This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets. This is a cross-functional business role designed to support data-driven decision making across the entire organisation - including Finance, Merchandising, Creative, Licensing, Sales, Supply Chain, eCommerce, and Operations. The role will additionally support marketplace, eCommerce, and consumer insight initiatives to help drive commercial decision-making across retail and digital channels. The successful candidate will be responsible for transforming complex business data into actionable insights, building reporting frameworks, identifying trends and opportunities, and supporting leadership teams with strategic analysis and forecasting. The role will also play a key part in driving the company's adoption of AI technologies, automation, and modern analytics tools. Key Responsibilities: Analyse large and complex datasets across multiple platforms to identify trends, risks, opportunities, and operational improvements Develop and maintain dashboards, KPIs, and reporting suites using Power BI Support the Finance team with forecasting, budgeting, margin analysis, profitability reporting, and commercial insights Partner with Merchandising, Sales, Licensing, Creative, Supply Chain and Operations teams to provide analytical support and performance reporting Build predictive models and analytical tools to support strategic decision-making and business planning Drive the adoption of AI and automation solutions across the business to improve efficiency and insight generation Work with ERP and operational systems, including D365 Business Central, to extract, validate, and analyse data Improve data quality, governance, consistency, and reporting accuracy across departments to ensure one version of the truth Develop and maintain data pipelines and automated reporting processes where appropriate Present findings and recommendations clearly to senior leadership and operational stakeholders Support ongoing digital transformation initiatives across the business Ensure analytical work follows best practices around governance, security, and ethical AI usage Monitor and analyse eCommerce and marketplace KPIs including conversion rate, click-through rate (CTR), ACOS, TACOS, Buy Box performance, average selling price (ASP), keyword rankings, and inventory health metrics. Support eCommerce and marketplace advertising analysis, including Amazon Sponsored Ads performance, ROAS optimisation, campaign analysis, and budget efficiency reporting. Support data-driven optimisation of eCommerce product listings, keywords, digital content, and marketplace visibility to improve discoverability, conversion, and sales performance. Conduct competitor, pricing, and market analysis to identify trends, opportunities, and risks across eCommerce and retail channels. Apply predictive analytics and trend analysis to support demand forecasting, inventory planning, and commercial decision-making. Support testing and experimentation across pricing, advertising, promotions, and digital content strategies, using analytical insight to measure performance and recommend improvements. Work closely with merchandising, eCommerce, licensing, and marketing teams to provide commercially focused analytics and actionable insight. Profile Essential: Previous experience within a Data Scientist, Data Analyst, Business Intelligence, or Analytics role Strong analytical and problem-solving skills with commercial awareness Advanced Power BI capability, including dashboard creation, DAX, data modelling, and visualisation. Strong experience using SQL for querying and manipulating datasets Experience using AI tools, large language models (LLMs), and automation technologies to support analytics, reporting, and business insight generation. Experience working with ERP systems, preferably Microsoft Dynamics 365 Business Central (BC) and/or Syspro Understanding of AI, machine learning, automation tools, and modern analytics techniques Ability to interpret complex datasets and communicate findings clearly to non-technical stakeholders Excellent communication and stakeholder management skills Highly organised with the ability to manage multiple priorities in a fast-paced environment Experience working with eCommerce and marketplace analytics, preferably Amazon Seller Central and Amazon Advertising platforms. Understanding of eCommerce performance metrics including ROAS, ACOS, TACOS, conversion rate optimisation, keyword ranking, and digital traffic analysis. Experience translating commercial and marketplace data into actionable business insight. Desirable: Experience within a consumer products, retail, licensing, apparel, manufacturing, or distribution environment Experience with forecasting, demand planning, or supply chain analytics Experience developing AI-enabled business solutions or workflow automation Understanding of financial reporting and commercial finance concepts Degree qualified in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related quantitative discipline Experience with Amazon marketplace optimisation tools such as Helium 10. Experience using social listening and consumer insight platforms such as Meltwater. Experience within licensed apparel, consumer products, retail, eCommerce, or marketplace-driven businesses. Job Offer
Senior Python/Django Developer (Contract) £700-£750 per day (Inside IR35) | Remote | 6 months We're supporting a leading UK retailer as they scale an AI-driven pricing platform across Europe, and are looking for a Senior Python/Django Developer to support the next phase of delivery. This is a Back End-focused role , working within a data-driven environment on a high-impact, large-scale platform. The Role Develop and maintain Back End services using Python and Django Contribute to a scalable AI pricing platform used across multiple markets Work closely with engineers, data scientists and product teams Write clean, maintainable and production-ready code Participate in agile ceremonies and technical discussions What we're looking for Strong commercial experience with Python Proven hands-on expertise with the Django framework Solid understanding of Back End engineering and system design Experience working in agile delivery environments Comfortable working in fast-paced, collaborative teams If you're a hands-on Back End engineer with strong Django experience and want to work on a high-impact, data-driven platform, get in touch. Engagement via umbrella company only; all taxes & NI deducted at source. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.
Jul 08, 2026
Contractor
Senior Python/Django Developer (Contract) £700-£750 per day (Inside IR35) | Remote | 6 months We're supporting a leading UK retailer as they scale an AI-driven pricing platform across Europe, and are looking for a Senior Python/Django Developer to support the next phase of delivery. This is a Back End-focused role , working within a data-driven environment on a high-impact, large-scale platform. The Role Develop and maintain Back End services using Python and Django Contribute to a scalable AI pricing platform used across multiple markets Work closely with engineers, data scientists and product teams Write clean, maintainable and production-ready code Participate in agile ceremonies and technical discussions What we're looking for Strong commercial experience with Python Proven hands-on expertise with the Django framework Solid understanding of Back End engineering and system design Experience working in agile delivery environments Comfortable working in fast-paced, collaborative teams If you're a hands-on Back End engineer with strong Django experience and want to work on a high-impact, data-driven platform, get in touch. Engagement via umbrella company only; all taxes & NI deducted at source. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.
Biomedical Scientist Clinical Chemistry Biomedical Scientist HCPC Registered BMS Milton Keynes Band 5 & Band 6 Full-time Temporary NHS Laboratory Introduction Acorn by Synergie is recruiting HCPC-registered Biomedical Scientists to support a major laboratory transformation project within an NHS laboratory in Milton Keynes . This is an excellent opportunity for experienced Biomedical Scientists , Clinical Chemistry Biomedical Scientists , HCPC Registered BMS , Medical Laboratory Scientists or NHS Biomedical Scientists to play a key role in the implementation of new laboratory testing equipment. Working as part of a specialist laboratory team, you'll support the installation, validation and verification of new analytical platforms, ensuring all laboratory analysers are fully operational and performing to the required standards before going live. This is an exciting opportunity to contribute to a significant NHS laboratory project while working within a fast-paced Clinical Chemistry environment. Key Duties Support the installation, validation and verification of new laboratory analysers and analytical platforms. Analyse validation and verification data to ensure equipment performance meets required laboratory standards. Assist with troubleshooting and resolving technical issues during analyser implementation. Work closely with Biomedical Scientists, laboratory staff and project teams to ensure a smooth transition to new laboratory systems. Maintain compliance with laboratory quality management systems, policies and standard operating procedures. Support laboratory quality assurance activities and demonstrate an understanding of UKAS accreditation requirements. Ensure all work is carried out in accordance with NHS laboratory standards and regulatory requirements. Maintain accurate laboratory documentation and validation records throughout the implementation process. Requirements HCPC registration as a Biomedical Scientist (BMS) is essential. Previous experience working as a Biomedical Scientist within an NHS or clinical laboratory environment. Strong experience in Clinical Chemistry . Experience supporting analyser installation, validation and verification projects. Good understanding of laboratory quality systems and UKAS accreditation requirements. Excellent analytical, troubleshooting and problem-solving skills. Experience with Beckman Coulter platforms, including DXI 9000 and AU analysers . Alternatively, experience with Roche Cobas or Siemens Healthineers analytical platforms. Additional experience within Haematology and/or Blood Transfusion would be advantageous. Excellent communication skills and the ability to work effectively within a multidisciplinary laboratory team. What We Offer Band 5 and Band 6 opportunities available. Opportunity to work on a significant NHS laboratory transformation project. Gain experience supporting the implementation of new laboratory analysers and technology. Work within a supportive and collaborative Clinical Chemistry team. Opportunity to develop your technical skills within a modern NHS laboratory environment. Interested? If you're an HCPC-registered Biomedical Scientist , Clinical Chemistry Biomedical Scientist , NHS Biomedical Scientist or Medical Laboratory Scientist looking for your next opportunity in Milton Keynes , apply today with your up-to-date CV or contact Acorn by Synergie for more information. Acorn by Synergie acts as an employment business for the supply of temporary workers.
Jul 08, 2026
Seasonal
Biomedical Scientist Clinical Chemistry Biomedical Scientist HCPC Registered BMS Milton Keynes Band 5 & Band 6 Full-time Temporary NHS Laboratory Introduction Acorn by Synergie is recruiting HCPC-registered Biomedical Scientists to support a major laboratory transformation project within an NHS laboratory in Milton Keynes . This is an excellent opportunity for experienced Biomedical Scientists , Clinical Chemistry Biomedical Scientists , HCPC Registered BMS , Medical Laboratory Scientists or NHS Biomedical Scientists to play a key role in the implementation of new laboratory testing equipment. Working as part of a specialist laboratory team, you'll support the installation, validation and verification of new analytical platforms, ensuring all laboratory analysers are fully operational and performing to the required standards before going live. This is an exciting opportunity to contribute to a significant NHS laboratory project while working within a fast-paced Clinical Chemistry environment. Key Duties Support the installation, validation and verification of new laboratory analysers and analytical platforms. Analyse validation and verification data to ensure equipment performance meets required laboratory standards. Assist with troubleshooting and resolving technical issues during analyser implementation. Work closely with Biomedical Scientists, laboratory staff and project teams to ensure a smooth transition to new laboratory systems. Maintain compliance with laboratory quality management systems, policies and standard operating procedures. Support laboratory quality assurance activities and demonstrate an understanding of UKAS accreditation requirements. Ensure all work is carried out in accordance with NHS laboratory standards and regulatory requirements. Maintain accurate laboratory documentation and validation records throughout the implementation process. Requirements HCPC registration as a Biomedical Scientist (BMS) is essential. Previous experience working as a Biomedical Scientist within an NHS or clinical laboratory environment. Strong experience in Clinical Chemistry . Experience supporting analyser installation, validation and verification projects. Good understanding of laboratory quality systems and UKAS accreditation requirements. Excellent analytical, troubleshooting and problem-solving skills. Experience with Beckman Coulter platforms, including DXI 9000 and AU analysers . Alternatively, experience with Roche Cobas or Siemens Healthineers analytical platforms. Additional experience within Haematology and/or Blood Transfusion would be advantageous. Excellent communication skills and the ability to work effectively within a multidisciplinary laboratory team. What We Offer Band 5 and Band 6 opportunities available. Opportunity to work on a significant NHS laboratory transformation project. Gain experience supporting the implementation of new laboratory analysers and technology. Work within a supportive and collaborative Clinical Chemistry team. Opportunity to develop your technical skills within a modern NHS laboratory environment. Interested? If you're an HCPC-registered Biomedical Scientist , Clinical Chemistry Biomedical Scientist , NHS Biomedical Scientist or Medical Laboratory Scientist looking for your next opportunity in Milton Keynes , apply today with your up-to-date CV or contact Acorn by Synergie for more information. Acorn by Synergie acts as an employment business for the supply of temporary workers.
hackajob is collaborating with Bet365 to connect them with exceptional professionals for this role. Company Description We're one of the world's leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 10,000 people and serve over 120 million customers in 26 languages. We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of growth opportunities, giving them the opportunity to make a real impact in the world of online gambling. As a forward-thinking company, we're breaking new ground in software innovation too, redefining what's possible for our global worldwide. Our focus on In-Play betting has solidified our market-leading position, featuring more than 1.38 million In-Play sporting events a year. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe (750,000), we handle over 6 million HTTP requests daily and process more than 1.5 million bets per hour at peak. Job Description As a Lead Data Scientist, you will spearhead the development of advanced probabilistic models that power real-time betting markets. The Quantitative Analysis department harnesses data-driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models to provide accurate pricing across our sports betting products. In this role, you will work with extensive datasets develop models that determine odds and power in-play betting decisions while leveraging state-of-the-art machine learning techniques to analyse and interpret complex sports data. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation. This role is eligible for inclusion in the Company's hybrid working policy. Qualifications Ability to leverage in-depth knowledge of sports and online gambling to develop relevant, impactful models aligned with business objectives. Master's degree or PhD in Mathematics, Data Science, Computer Science, or a related quantitative field. Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments. Track record of mentoring junior colleagues and successfully leading technical projects. Experience with cloud computing environments for scalable solutions. Additional Information Leading the development and implementation of innovative data solutions for complex challenges, solving problems without prescriptive approaches. Overseeing advanced analysis of large datasets to derive actionable insights aligned with business objectives. Developing predictive models and algorithms using statistical techniques and machine learning. Conducting and supervising rigorous statistical validation of models against historical and live data. Collaborating with trading teams to incorporate domain expertise into mathematical models. Partnering with software architects and developers to ensure alignment with technical solutions. Optimising model performance for both accuracy and computational efficiency. Researching and implementing novel approaches from academic literature and industry advancements. Mentoring less experienced team members, providing guidance, and conducting quality assurance to enhance overall team performance and capabilities. Identifying and defining new opportunities for data-driven insights. By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice - At bet365, we're committed to creating an environment where everyone feels welcome, respected and valued. Where all individuals can grow and develop, regardless of their background. We're Never Ordinary, and we're always striving to be better. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don't hesitate to reach out.
Jul 08, 2026
Full time
hackajob is collaborating with Bet365 to connect them with exceptional professionals for this role. Company Description We're one of the world's leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 10,000 people and serve over 120 million customers in 26 languages. We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of growth opportunities, giving them the opportunity to make a real impact in the world of online gambling. As a forward-thinking company, we're breaking new ground in software innovation too, redefining what's possible for our global worldwide. Our focus on In-Play betting has solidified our market-leading position, featuring more than 1.38 million In-Play sporting events a year. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe (750,000), we handle over 6 million HTTP requests daily and process more than 1.5 million bets per hour at peak. Job Description As a Lead Data Scientist, you will spearhead the development of advanced probabilistic models that power real-time betting markets. The Quantitative Analysis department harnesses data-driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models to provide accurate pricing across our sports betting products. In this role, you will work with extensive datasets develop models that determine odds and power in-play betting decisions while leveraging state-of-the-art machine learning techniques to analyse and interpret complex sports data. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation. This role is eligible for inclusion in the Company's hybrid working policy. Qualifications Ability to leverage in-depth knowledge of sports and online gambling to develop relevant, impactful models aligned with business objectives. Master's degree or PhD in Mathematics, Data Science, Computer Science, or a related quantitative field. Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments. Track record of mentoring junior colleagues and successfully leading technical projects. Experience with cloud computing environments for scalable solutions. Additional Information Leading the development and implementation of innovative data solutions for complex challenges, solving problems without prescriptive approaches. Overseeing advanced analysis of large datasets to derive actionable insights aligned with business objectives. Developing predictive models and algorithms using statistical techniques and machine learning. Conducting and supervising rigorous statistical validation of models against historical and live data. Collaborating with trading teams to incorporate domain expertise into mathematical models. Partnering with software architects and developers to ensure alignment with technical solutions. Optimising model performance for both accuracy and computational efficiency. Researching and implementing novel approaches from academic literature and industry advancements. Mentoring less experienced team members, providing guidance, and conducting quality assurance to enhance overall team performance and capabilities. Identifying and defining new opportunities for data-driven insights. By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice - At bet365, we're committed to creating an environment where everyone feels welcome, respected and valued. Where all individuals can grow and develop, regardless of their background. We're Never Ordinary, and we're always striving to be better. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don't hesitate to reach out.
hackajob is collaborating with Envitia to connect them with exceptional professionals for this role. Join the Growth Story at Envitia Envitia operates at the heart of the UK's most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. Our solutions are secure-by-design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. A career with Envitia enables you to work with mission driven innovation. We're thrilled to announce that Envitia has been named one of the Sunday Times Top 100 Medium-Sized Companies to Work For in 2025-a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Envitia is recruiting for a Data Engineer to join our Security and Intelligence consulting team, who will be responsible for designing, building and maintaining secure, scalable data platforms and pipelines that enable advanced analytics and operational intelligence capabilities. The role focuses on engineering robust data architectures capable of ingesting, processing and distributing large-scale datasets, supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production-grade data solutions. Typical engagements include: Engineering large-scale data ingestion and processing pipelines Designing data lakes and distributed data platforms Enabling analytics and AI/ML workloads Supporting intelligence data exploitation workflows Integrating multiple classified data sources across secure environments Job Responsibilities Design, build and maintain secure, scalable data platforms capable of processing large volumes of operational data. Develop and operate robust data lakes and distributed data processing environments within secure or regulated settings. Engineer high performance data ingestion pipelines for batch and streaming data from multiple sources, including sensor, geospatial, communications and operational systems. Design and implement ETL/ELT workflows to transform, enrich and validate data for downstream analytics and machine learning use. Build scalable, distributed data processing solutions using modern big data and parallel processing technologies. Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms. Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes. Optimise data storage and processing architectures to support high performance analytical environments. Contribute to DevSecOps and cloud native delivery, including automated deployment, infrastructure provisioning and containerised environments. Support the ongoing operation, observability and resilience of production data platforms. Skills Required Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL. Hands on experience building and operating large scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark, Hadoop). Experience designing and maintaining data lakes, distributed storage platforms, and data pipeline orchestration tools. Experience working with cloud native data platforms, with strong expertise in AWS and native data services. Familiarity with Infrastructure as Code and modern cloud native data architectures. Experience working in DevSecOps environments, including Docker, Kubernetes, CI/CD pipelines, and observability/monitoring tooling. Ability to work directly with stakeholders to understand data requirements and translate them into robust, scalable data engineering solutions. Comfortable working in secure, regulated or constrained environments, delivering solutions within complex operational settings. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance. Location It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations - Gloucester, London, Manchester (based on project requirements). What's in it for you? At Envitia, our greatest asset is our team. We are committed to ensuring our workplace is one where every employee feels valued, supported and motivated to reach their full potential. As part of this commitment, we offer an exciting range of benefits designed to enhance both your professional and personal well-being. More time for you: Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most. Private Medical Insurance: We've got you covered with comprehensive private healthcare, including family options for added peace of mind. Security Clearance Bonus: Up to £5,000 year Career growth that keeps you ahead: We invest in your future with ongoing training and development, so you're always learning, growing and staying ahead of the curve. Wellness that works for you: Love yoga, or going to the gym? We encourage an active lifestyle and support your wellness goals with a fitness reimbursement scheme that helps cover your gym membership or fitness-related expenses. Life Assurance: Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present. Smarter Retirement Planning: Plan for your future with our pension options and resources to help build a secure financial foundation. Perkbox: Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services. Recognition that counts: Great work doesn't go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine. Give back and get involved: Join us in making a difference through paid volunteering days that let you support the causes that matter to you. 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 08, 2026
Full time
hackajob is collaborating with Envitia to connect them with exceptional professionals for this role. Join the Growth Story at Envitia Envitia operates at the heart of the UK's most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. Our solutions are secure-by-design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. A career with Envitia enables you to work with mission driven innovation. We're thrilled to announce that Envitia has been named one of the Sunday Times Top 100 Medium-Sized Companies to Work For in 2025-a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Envitia is recruiting for a Data Engineer to join our Security and Intelligence consulting team, who will be responsible for designing, building and maintaining secure, scalable data platforms and pipelines that enable advanced analytics and operational intelligence capabilities. The role focuses on engineering robust data architectures capable of ingesting, processing and distributing large-scale datasets, supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production-grade data solutions. Typical engagements include: Engineering large-scale data ingestion and processing pipelines Designing data lakes and distributed data platforms Enabling analytics and AI/ML workloads Supporting intelligence data exploitation workflows Integrating multiple classified data sources across secure environments Job Responsibilities Design, build and maintain secure, scalable data platforms capable of processing large volumes of operational data. Develop and operate robust data lakes and distributed data processing environments within secure or regulated settings. Engineer high performance data ingestion pipelines for batch and streaming data from multiple sources, including sensor, geospatial, communications and operational systems. Design and implement ETL/ELT workflows to transform, enrich and validate data for downstream analytics and machine learning use. Build scalable, distributed data processing solutions using modern big data and parallel processing technologies. Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms. Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes. Optimise data storage and processing architectures to support high performance analytical environments. Contribute to DevSecOps and cloud native delivery, including automated deployment, infrastructure provisioning and containerised environments. Support the ongoing operation, observability and resilience of production data platforms. Skills Required Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL. Hands on experience building and operating large scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark, Hadoop). Experience designing and maintaining data lakes, distributed storage platforms, and data pipeline orchestration tools. Experience working with cloud native data platforms, with strong expertise in AWS and native data services. Familiarity with Infrastructure as Code and modern cloud native data architectures. Experience working in DevSecOps environments, including Docker, Kubernetes, CI/CD pipelines, and observability/monitoring tooling. Ability to work directly with stakeholders to understand data requirements and translate them into robust, scalable data engineering solutions. Comfortable working in secure, regulated or constrained environments, delivering solutions within complex operational settings. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance. Location It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations - Gloucester, London, Manchester (based on project requirements). What's in it for you? At Envitia, our greatest asset is our team. We are committed to ensuring our workplace is one where every employee feels valued, supported and motivated to reach their full potential. As part of this commitment, we offer an exciting range of benefits designed to enhance both your professional and personal well-being. More time for you: Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most. Private Medical Insurance: We've got you covered with comprehensive private healthcare, including family options for added peace of mind. Security Clearance Bonus: Up to £5,000 year Career growth that keeps you ahead: We invest in your future with ongoing training and development, so you're always learning, growing and staying ahead of the curve. Wellness that works for you: Love yoga, or going to the gym? We encourage an active lifestyle and support your wellness goals with a fitness reimbursement scheme that helps cover your gym membership or fitness-related expenses. Life Assurance: Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present. Smarter Retirement Planning: Plan for your future with our pension options and resources to help build a secure financial foundation. Perkbox: Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services. Recognition that counts: Great work doesn't go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine. Give back and get involved: Join us in making a difference through paid volunteering days that let you support the causes that matter to you. 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.
hackajob is collaborating with EY to connect them with exceptional professionals for this role. (INV) Senior Consultant, AI & Data, Data Strategist, Infrastructure, TC UKI Location: Manchester Other locations: Primary Location Only Salary: Competitive Date: 7 May 2026 Job description Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. AI and Data Strategist Grade: Senior Consultant Position Overview We are seeking an experienced AI and Data Strategy Senior Consultant to help shape and deliver enterprise-wide AI transformation initiatives for clients across the infrastructure industry. This role requires a strategic business technologist who can operate as part of a team to translate AI, data and automation capabilities into tangible business value while designing the organisational frameworks needed to become an AI-first enterprise. Your client impact Help define comprehensive AI, data and automation strategies tailored to client organisations across consumer products, retail, health, energy, and life sciences sectors Support in-depth analysis of industry-specific value chain and identify a portfolio of high impact AI, data and automation use cases, to drive revenue growth, operational efficiency, and competitive differentiation Help assess organisational AI and data landscape maturity and create tailored roadmaps for transformation in areas such as operating models, organisational structure and capabilities required to deliver the strategy Contribute to the development of high-level business and technology architectures and operating models that enable scalable AI deployment (encompassing both data and automation) Support EY project leadership in cross-functional workshops and design sessions with senior stakeholders as they seek to align diverse stakeholder groups around a unified AI vision Help create content to articulate complex AI/agentic concepts and recommendations to senior leadership audiences Conduct analysis that inputs to the prioritisation of AI initiatives based on strategic value, feasibility, and organisational readiness Contribute to solution development of high impact bid responses and proposal for AI led transformation Essential Qualifications STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field Essential Criteria Experience of contributing to enterprise-level AI strategies for complex or multinational organisations Familiarity with the design of operating models and organisational structures for data and AI functions Familiarity and understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and Intelligent Automation Familiarity with AI governance frameworks, model risk management, and regulatory requirements Soft Skills Communication, storytelling and presentation skills Experience of facilitation and workshop design capabilities including ability to influence senior stakeholders Experience of interacting and collaborating with multi-disciplinary teams (data scientists, engineers, business strategists) Continuous learning mindset to stay ahead of rapidly evolving AI landscape and strategies for deployment Strategic thinking with ability to translate complex technical concepts into business language and explain how they drive business value Preferred Criteria Familiarity of modern data governance frameworks and architectures, cloud platforms, and AI infrastructure including DAMA Exposure to at least one of the following domains and/or sectors: Sector: Infrastructure Domain: Finance, Supply Chain, Commercial, Programme & Portfolio, Capital Delivery Experience with Big 4 consulting methodologies and framework Preferred Qualifications Certifications in relevant areas (e.g., cloud platforms, data governance, AI ethics, automation technologies) Knowledge of sustainability and climate change challenges across industries Knowledge of one or more of the following sectors: Energy, Government, Transport, Power and Utilities, Telco and Media Experience working in industry, government or a management consultancy environment Ability to analyse data and deliver insightful, practical solutions Experience of managing teams, including internal staff, clients and wider stakeholders Experience of delivering presentations to senior audiences Skills and experience in Portfolio, Programme and Project Management What we offer We offer a competitive remuneration package where you'll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings, and a wide range of discounts, offers and promotions. Plus, we offer: Continuous learning: You'll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. The exceptional EY experience. It's yours to build. Apply now EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
Jul 08, 2026
Full time
hackajob is collaborating with EY to connect them with exceptional professionals for this role. (INV) Senior Consultant, AI & Data, Data Strategist, Infrastructure, TC UKI Location: Manchester Other locations: Primary Location Only Salary: Competitive Date: 7 May 2026 Job description Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. AI and Data Strategist Grade: Senior Consultant Position Overview We are seeking an experienced AI and Data Strategy Senior Consultant to help shape and deliver enterprise-wide AI transformation initiatives for clients across the infrastructure industry. This role requires a strategic business technologist who can operate as part of a team to translate AI, data and automation capabilities into tangible business value while designing the organisational frameworks needed to become an AI-first enterprise. Your client impact Help define comprehensive AI, data and automation strategies tailored to client organisations across consumer products, retail, health, energy, and life sciences sectors Support in-depth analysis of industry-specific value chain and identify a portfolio of high impact AI, data and automation use cases, to drive revenue growth, operational efficiency, and competitive differentiation Help assess organisational AI and data landscape maturity and create tailored roadmaps for transformation in areas such as operating models, organisational structure and capabilities required to deliver the strategy Contribute to the development of high-level business and technology architectures and operating models that enable scalable AI deployment (encompassing both data and automation) Support EY project leadership in cross-functional workshops and design sessions with senior stakeholders as they seek to align diverse stakeholder groups around a unified AI vision Help create content to articulate complex AI/agentic concepts and recommendations to senior leadership audiences Conduct analysis that inputs to the prioritisation of AI initiatives based on strategic value, feasibility, and organisational readiness Contribute to solution development of high impact bid responses and proposal for AI led transformation Essential Qualifications STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field Essential Criteria Experience of contributing to enterprise-level AI strategies for complex or multinational organisations Familiarity with the design of operating models and organisational structures for data and AI functions Familiarity and understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and Intelligent Automation Familiarity with AI governance frameworks, model risk management, and regulatory requirements Soft Skills Communication, storytelling and presentation skills Experience of facilitation and workshop design capabilities including ability to influence senior stakeholders Experience of interacting and collaborating with multi-disciplinary teams (data scientists, engineers, business strategists) Continuous learning mindset to stay ahead of rapidly evolving AI landscape and strategies for deployment Strategic thinking with ability to translate complex technical concepts into business language and explain how they drive business value Preferred Criteria Familiarity of modern data governance frameworks and architectures, cloud platforms, and AI infrastructure including DAMA Exposure to at least one of the following domains and/or sectors: Sector: Infrastructure Domain: Finance, Supply Chain, Commercial, Programme & Portfolio, Capital Delivery Experience with Big 4 consulting methodologies and framework Preferred Qualifications Certifications in relevant areas (e.g., cloud platforms, data governance, AI ethics, automation technologies) Knowledge of sustainability and climate change challenges across industries Knowledge of one or more of the following sectors: Energy, Government, Transport, Power and Utilities, Telco and Media Experience working in industry, government or a management consultancy environment Ability to analyse data and deliver insightful, practical solutions Experience of managing teams, including internal staff, clients and wider stakeholders Experience of delivering presentations to senior audiences Skills and experience in Portfolio, Programme and Project Management What we offer We offer a competitive remuneration package where you'll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings, and a wide range of discounts, offers and promotions. Plus, we offer: Continuous learning: You'll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. The exceptional EY experience. It's yours to build. Apply now EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
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 08, 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 Baringa Partners to connect them with exceptional professionals for this role. Our Solutions and AI Labs (SAIL) practice are looking for an L1 Support Engineer to join the team. Our Solutions & AI Labs (SAIL) practice focuses on helping clients control their data, turn them into actionable insights and better leverage them through the use of Machine Learning solutions directly embedded into businesses processes. We support clients across a number of industries and offer deep expertise in AI, ML, Cloud and Managed Solutions. What you will be doing You will be using your experience to help build and maintain internal and client solutions. You would be also responsible to support the growth of our team, helping them to build the skills they need to solve our client's challenges. Depending on the level, you can be a part of our leadership team, shaping the direction of the practice, growing the business and leading our people. Although we do not expect you to be an expert in all of the below activities at the same time, our team consists of people who can both work as advisors to our clients as well as being able to bring deep technical knowledge when needed. The profile of our typical engagements is a reflection of that. The support team also provides application coverage at weekends to monitor this ENA product, so applicants should have flexibility for, or be available, to work one weekend day and four weekdays. Weekend shifts primarily involve monitoring, resolving issues, and invoking on-call support, with the majority of remaining time focused on coding, maintenance, or bug fixes. Other members of this team already do this, so it's not a dealbreaker if you're not able to as we should have enough people for a rotation, but it would be an expectation. Key Responsibilities based on the of the below areas. Triage and review support desk tickets, ensuring that first response and remediation SLAs are met, focusing on quality of first response and passion for going above and beyond to resolve our customers issues Learn and contribute automations and documentation to the support desk team Proficient in utilising modern frameworks such as Next.js and libraries like React End-to-end delivery of fully functional CRUD APIs, from local development through to cloud deployment and production readiness Maintaining APIs and effectively resolving any arising issues Execute schema and data/table migrations to support evolving application requirements Manage the release and versioning of software and related packages across various environments, including production Prepare detailed release notes and plans, covering regression testing and established backout procedures for risk mitigation Your skills and experience We're looking for passionate and talented professional full-stack and software engineers who are eager to shape the next generation of AI and Machine Learning solutions platforms for our clients. Building on the core responsibilities outlined in "What you will be doing," you will join a dynamic team working at the intersection of cutting-edge technology and practical innovation. 1-3 years of hands-on experience in software engineering, specifically focused on developing and delivering modern web applications, APIs, and scalable platforms Proficient in either JavaScript and Python, with a proven track record of delivering high-quality, maintainable code and leveraging both languages to solve complex technical challenges Excellent verbal and written communication skills, with the ability to clearly articulate technical issues and solutions to both technical and non-technical stakeholders Exposure to modern software development practices including CI/CD pipelines, cloud platforms and Infrastructure as Code. You are confident applying these practices to build scalable, secure, and reliable solutions A collaborative mindset with the ability to work closely with consultants, data scientists, and business stakeholders to understand requirements and translate them into innovative, impactful solutions for our clients A continuous learner who is always exploring the latest frameworks, tools, and methodologies in software engineering and AI, and keen to bring fresh ideas to the table Ability to take on information and formulate clear documentation and run manuals based on common issues and provide detailed resolution for long term solutions If you are excited by the opportunity to build meaningful AI and ML-driven platforms using the latest technologies, and thrive in a collaborative, people-first culture, we would love to hear from you!
Jul 08, 2026
Full time
hackajob is collaborating with Baringa Partners to connect them with exceptional professionals for this role. Our Solutions and AI Labs (SAIL) practice are looking for an L1 Support Engineer to join the team. Our Solutions & AI Labs (SAIL) practice focuses on helping clients control their data, turn them into actionable insights and better leverage them through the use of Machine Learning solutions directly embedded into businesses processes. We support clients across a number of industries and offer deep expertise in AI, ML, Cloud and Managed Solutions. What you will be doing You will be using your experience to help build and maintain internal and client solutions. You would be also responsible to support the growth of our team, helping them to build the skills they need to solve our client's challenges. Depending on the level, you can be a part of our leadership team, shaping the direction of the practice, growing the business and leading our people. Although we do not expect you to be an expert in all of the below activities at the same time, our team consists of people who can both work as advisors to our clients as well as being able to bring deep technical knowledge when needed. The profile of our typical engagements is a reflection of that. The support team also provides application coverage at weekends to monitor this ENA product, so applicants should have flexibility for, or be available, to work one weekend day and four weekdays. Weekend shifts primarily involve monitoring, resolving issues, and invoking on-call support, with the majority of remaining time focused on coding, maintenance, or bug fixes. Other members of this team already do this, so it's not a dealbreaker if you're not able to as we should have enough people for a rotation, but it would be an expectation. Key Responsibilities based on the of the below areas. Triage and review support desk tickets, ensuring that first response and remediation SLAs are met, focusing on quality of first response and passion for going above and beyond to resolve our customers issues Learn and contribute automations and documentation to the support desk team Proficient in utilising modern frameworks such as Next.js and libraries like React End-to-end delivery of fully functional CRUD APIs, from local development through to cloud deployment and production readiness Maintaining APIs and effectively resolving any arising issues Execute schema and data/table migrations to support evolving application requirements Manage the release and versioning of software and related packages across various environments, including production Prepare detailed release notes and plans, covering regression testing and established backout procedures for risk mitigation Your skills and experience We're looking for passionate and talented professional full-stack and software engineers who are eager to shape the next generation of AI and Machine Learning solutions platforms for our clients. Building on the core responsibilities outlined in "What you will be doing," you will join a dynamic team working at the intersection of cutting-edge technology and practical innovation. 1-3 years of hands-on experience in software engineering, specifically focused on developing and delivering modern web applications, APIs, and scalable platforms Proficient in either JavaScript and Python, with a proven track record of delivering high-quality, maintainable code and leveraging both languages to solve complex technical challenges Excellent verbal and written communication skills, with the ability to clearly articulate technical issues and solutions to both technical and non-technical stakeholders Exposure to modern software development practices including CI/CD pipelines, cloud platforms and Infrastructure as Code. You are confident applying these practices to build scalable, secure, and reliable solutions A collaborative mindset with the ability to work closely with consultants, data scientists, and business stakeholders to understand requirements and translate them into innovative, impactful solutions for our clients A continuous learner who is always exploring the latest frameworks, tools, and methodologies in software engineering and AI, and keen to bring fresh ideas to the table Ability to take on information and formulate clear documentation and run manuals based on common issues and provide detailed resolution for long term solutions If you are excited by the opportunity to build meaningful AI and ML-driven platforms using the latest technologies, and thrive in a collaborative, people-first culture, we would love to hear from you!
hackajob is collaborating with Sky Betting & Gaming to connect them with exceptional professionals for this role. LEEDS Your team The UKI Data Science team is a cross business chapter sitting in the Customer Super Tribe, working with other areas such as; Safety, Marketing, Gaming, Sports, and more. We work with a range of partners to deliver groundbreaking analytics and AI modelling solutions to help solve business problems. What you'll do Work with the team to carry out analytical projects involving data collection, pre-processing, feature engineering, model development, validation, and deployment. Engage with business stakeholders to understand domain-specific challenges and opportunities, and collaborate during development to ensure alignment with requirements. Apply advanced statistical and machine learning algorithms to analyse large datasets, uncover patterns, and derive actionable insights to support business objectives. Develop and implement predictive and prescriptive models using machine learning algorithms and techniques, such as regression, classification, clustering, time series analysis, natural language processing, and deep learning. Create clear and compelling visualisations to communicate complex analytical findings effectively. Collaborate with collaborators (including business, product, and engineering) to understand requirements, find opportunities, and provide data-driven recommendations. Collaborate with cross-functional teams to integrate data science solutions into products and services. Engage actively in knowledge sharing, technical, and non-technical discussions within the team. Continuously improve the accuracy, efficiency, and scalability of existing models and algorithms, and identify areas for optimisation and innovation. Maintain high standards of documentation, code quality, and application of best practices in data science and software development. Actively participate in code reviews, pair programming, and knowledge sharing sessions, embracing feedback for continuous improvement. Contribute to building a strong data science team through knowledge sharing and upskilling. Keep abreast of the latest advancements in data science, machine learning, and related fields, and proactively find opportunities to demonstrate the use of new technologies. How you'll do it Proficiency in Python and SQL. Good knowledge of machine learning techniques and algorithms. A demonstrated track record of successfully delivering data science projects. Strong verbal and written communication, ability to explain technical concepts to non technical audiences. What's on offer £/€1,000 learning fund Twice-yearly bonus (with part of it guaranteed!) Unlimited Holiday Pension contribution scheme Private healthcare Hybrid Working - Access to thousands of Udemy courses Invest via the Company Sharesave Scheme About Flutter UK & Ireland Our division operates four of the most popular and trusted brands in the market: Sky Betting and Gaming, Tombola, Betfair and Paddy Power. Together the Flutter UK&I brands offer market leading entertainment to millions of customers every single week! Over the last couple of decades, they have all ridden the wave of digital betting with industry firsts like 'cash-out', 'Request a Bet', betting exchanges and free to play games like Soccer Saturday Super 6. Working here Do you want to work somewhere extraordinary? From the people you spend your days with, to the ground-breaking projects, no two days will be the same. With a philosophy of 'Together We Are More' our 7,000+ colleagues come together to form an expert community across technology, product, commercial, data, infrastructure, marketing, and a myriad of subject areas. We listen without judgement, encourage & support, and help build others up. Working at Flutter UK&I means you can be yourself, work how and where suits you best -and let your personality shine! We're working to be an inclusive employer, and we encourage people from all backgrounds, ways of thinking and working to apply. Everyone brings different perspectives and experiences; you don't have to meet all the requirements listed to apply for this role. If you need any adjustments to make this role work for you let us know, and we'll see how we can accommodate them.
Jul 08, 2026
Full time
hackajob is collaborating with Sky Betting & Gaming to connect them with exceptional professionals for this role. LEEDS Your team The UKI Data Science team is a cross business chapter sitting in the Customer Super Tribe, working with other areas such as; Safety, Marketing, Gaming, Sports, and more. We work with a range of partners to deliver groundbreaking analytics and AI modelling solutions to help solve business problems. What you'll do Work with the team to carry out analytical projects involving data collection, pre-processing, feature engineering, model development, validation, and deployment. Engage with business stakeholders to understand domain-specific challenges and opportunities, and collaborate during development to ensure alignment with requirements. Apply advanced statistical and machine learning algorithms to analyse large datasets, uncover patterns, and derive actionable insights to support business objectives. Develop and implement predictive and prescriptive models using machine learning algorithms and techniques, such as regression, classification, clustering, time series analysis, natural language processing, and deep learning. Create clear and compelling visualisations to communicate complex analytical findings effectively. Collaborate with collaborators (including business, product, and engineering) to understand requirements, find opportunities, and provide data-driven recommendations. Collaborate with cross-functional teams to integrate data science solutions into products and services. Engage actively in knowledge sharing, technical, and non-technical discussions within the team. Continuously improve the accuracy, efficiency, and scalability of existing models and algorithms, and identify areas for optimisation and innovation. Maintain high standards of documentation, code quality, and application of best practices in data science and software development. Actively participate in code reviews, pair programming, and knowledge sharing sessions, embracing feedback for continuous improvement. Contribute to building a strong data science team through knowledge sharing and upskilling. Keep abreast of the latest advancements in data science, machine learning, and related fields, and proactively find opportunities to demonstrate the use of new technologies. How you'll do it Proficiency in Python and SQL. Good knowledge of machine learning techniques and algorithms. A demonstrated track record of successfully delivering data science projects. Strong verbal and written communication, ability to explain technical concepts to non technical audiences. What's on offer £/€1,000 learning fund Twice-yearly bonus (with part of it guaranteed!) Unlimited Holiday Pension contribution scheme Private healthcare Hybrid Working - Access to thousands of Udemy courses Invest via the Company Sharesave Scheme About Flutter UK & Ireland Our division operates four of the most popular and trusted brands in the market: Sky Betting and Gaming, Tombola, Betfair and Paddy Power. Together the Flutter UK&I brands offer market leading entertainment to millions of customers every single week! Over the last couple of decades, they have all ridden the wave of digital betting with industry firsts like 'cash-out', 'Request a Bet', betting exchanges and free to play games like Soccer Saturday Super 6. Working here Do you want to work somewhere extraordinary? From the people you spend your days with, to the ground-breaking projects, no two days will be the same. With a philosophy of 'Together We Are More' our 7,000+ colleagues come together to form an expert community across technology, product, commercial, data, infrastructure, marketing, and a myriad of subject areas. We listen without judgement, encourage & support, and help build others up. Working at Flutter UK&I means you can be yourself, work how and where suits you best -and let your personality shine! We're working to be an inclusive employer, and we encourage people from all backgrounds, ways of thinking and working to apply. Everyone brings different perspectives and experiences; you don't have to meet all the requirements listed to apply for this role. If you need any adjustments to make this role work for you let us know, and we'll see how we can accommodate them.
hackajob is collaborating with Leonardo to connect them with exceptional professionals for this role. Job Description: Are you an experienced Systems Engineer or Scientist with an Electronics background? We are recruiting for a Principal Systems Engineer in our growing Detectors Area of Business, who can apply their expertise to deliver cutting-edge Electro-optic/InfraRed (EO/IR) capabilities across our Detector products. Based at our dedicated site in Southampton and offered with our award winning package. Your Impact Our Systems Engineers span across a range of activities that help pull together all the necessary engineering and technology strands into a high-performance system. As a Systems Engineer, you will bridge the gap between the theoretically possible and the practically implementable. What we build is exciting, interesting, challenging and complex. A diverse product portfolio of EO/IR technologies, with each programme at a different stage in its development lifecycle. Typical work you might be involved in: Applied research: Early research looking into exploiting new technologies or concepts. Requirements capture, definition, development, modelling, manufacture, test, and verification of EO/IR technologies. Applying and improving systems engineering processes across the full lifecycle. Collaborating with integrated project teams to design, build, and deliver EO/IR equipment. To be successful you will demonstrate passion for your trade by instilling a systems-thinking approach based on experience forming and leading high performing teams. You will be able to influence those you work with, thrive in dynamic environments, demonstrate resilience when faced with adversity and able to make decisions quickly under pressure and setting a clear technical vision for the project team. Given the extensive people engagement nature of the work, we are still able to offer custom working that allows for a combination of home and on-site working i.e. flexible working delivering effective results. What you'll bring You will have an electronics background and proven domain experience in EO/IR technologies, with the following attributes: Act as the focal point for systems engineering governance on the project, Requirements capture and management, System definition and development, Modelling and analysis, Verification and validation, Full engineering lifecycle application, Experience working in product development teams delivering Engineering artefacts successfully, Experience in managing and collaborating with internal/external stakeholders, Proven decision-making skills in a high complexity, dynamic environment, Excellent communication and interpersonal skills, proven ability to build trust and respect at different levels, Motivation, tenacity and determination, with a desire to deliver outputs and results. The following experience/skills are very desirable: PhD, EngD or Post-graduate degree in electro-optics, Experience with Model Based Design (MBD) tools and methodologies to support describing and analysing through the problem to implementation domains Experience with modelling tools e.g. Mathcad, MATLAB, Simulink, Experience with data acquisition tools such as LabView, Experience in using a requirement management tool to manage relationships of requirement and other project artefacts (DOORS, Polarion, Jama, etc ). 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 is subject to pre-employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could 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 - Southampton Contract Type: Permanent Hybrid Working: Hybrid
Jul 08, 2026
Full time
hackajob is collaborating with Leonardo to connect them with exceptional professionals for this role. Job Description: Are you an experienced Systems Engineer or Scientist with an Electronics background? We are recruiting for a Principal Systems Engineer in our growing Detectors Area of Business, who can apply their expertise to deliver cutting-edge Electro-optic/InfraRed (EO/IR) capabilities across our Detector products. Based at our dedicated site in Southampton and offered with our award winning package. Your Impact Our Systems Engineers span across a range of activities that help pull together all the necessary engineering and technology strands into a high-performance system. As a Systems Engineer, you will bridge the gap between the theoretically possible and the practically implementable. What we build is exciting, interesting, challenging and complex. A diverse product portfolio of EO/IR technologies, with each programme at a different stage in its development lifecycle. Typical work you might be involved in: Applied research: Early research looking into exploiting new technologies or concepts. Requirements capture, definition, development, modelling, manufacture, test, and verification of EO/IR technologies. Applying and improving systems engineering processes across the full lifecycle. Collaborating with integrated project teams to design, build, and deliver EO/IR equipment. To be successful you will demonstrate passion for your trade by instilling a systems-thinking approach based on experience forming and leading high performing teams. You will be able to influence those you work with, thrive in dynamic environments, demonstrate resilience when faced with adversity and able to make decisions quickly under pressure and setting a clear technical vision for the project team. Given the extensive people engagement nature of the work, we are still able to offer custom working that allows for a combination of home and on-site working i.e. flexible working delivering effective results. What you'll bring You will have an electronics background and proven domain experience in EO/IR technologies, with the following attributes: Act as the focal point for systems engineering governance on the project, Requirements capture and management, System definition and development, Modelling and analysis, Verification and validation, Full engineering lifecycle application, Experience working in product development teams delivering Engineering artefacts successfully, Experience in managing and collaborating with internal/external stakeholders, Proven decision-making skills in a high complexity, dynamic environment, Excellent communication and interpersonal skills, proven ability to build trust and respect at different levels, Motivation, tenacity and determination, with a desire to deliver outputs and results. The following experience/skills are very desirable: PhD, EngD or Post-graduate degree in electro-optics, Experience with Model Based Design (MBD) tools and methodologies to support describing and analysing through the problem to implementation domains Experience with modelling tools e.g. Mathcad, MATLAB, Simulink, Experience with data acquisition tools such as LabView, Experience in using a requirement management tool to manage relationships of requirement and other project artefacts (DOORS, Polarion, Jama, etc ). 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 is subject to pre-employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could 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 - Southampton Contract Type: Permanent Hybrid Working: Hybrid
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION Join our product design team and help deliver the next generation of digital product experiences for JPMorganChase's Global Banking organization . As a Product Design Lead , you will be responsible for products that deliver high-value enterprise capabilities across multiple business functions. You'll work in a collaborative and dynamic environment, partnering closely with product, engineering, and data science teams to create elegant solutions for highly complex business problems. The products you craft will be forward-thinking, refined, usable, and relevant to the organization's holistic end-to-end value streams. Job Responsibilities: Lead product design initiatives, developing a deep understanding of the problem space, business needs, and user goals to achieve positive outcomes Build strong relationships with multidisciplinary teams across local and global locations - including designers, product managers, engineers, data scientists, researchers, users, and finance SMEs. Collaborate on generative and evaluative research studies Create concepts, prototypes, storyboards, and presentations to communicate product vision Define detailed designs and specifications for complex workflows and interactions Enhance and leverage the organization's design system for cohesive experiences Demonstrate thought leadership in best practices and quality improvement Required Qualifications, Capabilities, and Skills: Experience working with complex data across multiple platforms (websites, mobile apps, products) Ability to communicate abstract design concepts visually and verbally using storytelling Experience designing digital products and services for enterprise solutions Proficiency in methodologies for concepting, storyboarding, and prototyping Experience applying design systems such as Google's Material Design Bachelor's degree or higher in UX Design, Product Design, Interaction Design, Service Design, Visual Design, Human-Computer Interaction, or related fields Portfolio and case studies demonstrating design experience (link(s) required in resume) Preferred Qualifications, Capabilities, and Skills: Experience designing AI-enabled solutions and incorporating artificial intelligence into your process Familiarity with financial terminology Knowledge of Americans with Disabilities Act Standards for Accessible Design and WCAG Working knowledge of HTML, CSS, and JavaScript 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 J.P. Morgan's Global Banking business is one of the largest wholesale banking client franchises in the world. We serve clients, including corporations, governments, states, municipalities, healthcare organizations, education institutions, banks and investors. Global Investment Banking supports a broad range of corporations, institutions and governments by providing strategic advice, capital raising and risk management expertise.
Jul 08, 2026
Full time
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION Join our product design team and help deliver the next generation of digital product experiences for JPMorganChase's Global Banking organization . As a Product Design Lead , you will be responsible for products that deliver high-value enterprise capabilities across multiple business functions. You'll work in a collaborative and dynamic environment, partnering closely with product, engineering, and data science teams to create elegant solutions for highly complex business problems. The products you craft will be forward-thinking, refined, usable, and relevant to the organization's holistic end-to-end value streams. Job Responsibilities: Lead product design initiatives, developing a deep understanding of the problem space, business needs, and user goals to achieve positive outcomes Build strong relationships with multidisciplinary teams across local and global locations - including designers, product managers, engineers, data scientists, researchers, users, and finance SMEs. Collaborate on generative and evaluative research studies Create concepts, prototypes, storyboards, and presentations to communicate product vision Define detailed designs and specifications for complex workflows and interactions Enhance and leverage the organization's design system for cohesive experiences Demonstrate thought leadership in best practices and quality improvement Required Qualifications, Capabilities, and Skills: Experience working with complex data across multiple platforms (websites, mobile apps, products) Ability to communicate abstract design concepts visually and verbally using storytelling Experience designing digital products and services for enterprise solutions Proficiency in methodologies for concepting, storyboarding, and prototyping Experience applying design systems such as Google's Material Design Bachelor's degree or higher in UX Design, Product Design, Interaction Design, Service Design, Visual Design, Human-Computer Interaction, or related fields Portfolio and case studies demonstrating design experience (link(s) required in resume) Preferred Qualifications, Capabilities, and Skills: Experience designing AI-enabled solutions and incorporating artificial intelligence into your process Familiarity with financial terminology Knowledge of Americans with Disabilities Act Standards for Accessible Design and WCAG Working knowledge of HTML, CSS, and JavaScript 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 J.P. Morgan's Global Banking business is one of the largest wholesale banking client franchises in the world. We serve clients, including corporations, governments, states, municipalities, healthcare organizations, education institutions, banks and investors. Global Investment Banking supports a broad range of corporations, institutions and governments by providing strategic advice, capital raising and risk management expertise.
