Senior AI Engineer Location: Remote (UK) or Hybrid - London (2 days per week in the office if London-based) Salary: 65,000 - 80,000 + Excellent Benefits Job Type: Permanent Please note: Applicants must have the right to work in the UK. Unfortunately, visa sponsorship is not available for this position. The Opportunity We're looking for a Senior AI Engineer to join a growing AI and Data Engineering function responsible for designing, building and scaling enterprise-grade AI platforms. This is an exciting opportunity to work on cutting-edge Artificial Intelligence, Machine Learning and Large Language Model (LLM) initiatives, helping to transform innovative AI research into secure, scalable production systems. The role is open to candidates across the UK , with fully remote working available . For those based near London, there is the option to work hybrid (2 days per week in the office) . You'll work alongside Data Scientists, Software Engineers and Product teams, taking ownership of complex AI services, data pipelines and cloud-native architectures that power intelligent products used at scale. The Role As a Senior AI Engineer, you'll play a key role in designing, architecting and delivering AI infrastructure with a high degree of autonomy. You'll help bridge the gap between research and production by developing scalable services, engineering robust data pipelines and implementing best practices across modern AI engineering. You'll also provide technical leadership within your squad, mentoring engineers and influencing engineering standards across the wider technology organisation. Key Responsibilities Design, build and maintain scalable AI data pipelines and processing workflows. Architect cloud-native backend systems and distributed AI services. Collaborate closely with Data Scientists to productionise Machine Learning and NLP models. Develop high-performance RESTful APIs and microservices for AI model serving. Drive system reliability, monitoring, observability and performance optimisation. Champion engineering best practices including CI/CD, automated testing and Infrastructure as Code. Improve integration, interoperability and data exchange across enterprise platforms. Translate complex technical requirements into scalable engineering solutions. Mentor junior engineers and provide technical leadership across projects. Contribute to architecture decisions, engineering standards and long-term technology strategy. About You You'll be an experienced Software, Data or AI Engineer with a passion for building scalable AI solutions and solving complex engineering challenges. You'll ideally have: A degree in Computer Science, Software Engineering, Artificial Intelligence or a related discipline. 5+ years' commercial experience in AI Engineering, Machine Learning Engineering, Backend Engineering or Data Engineering. Expert-level Python development experience. Experience productionising Machine Learning, NLP or Generative AI models. Strong experience designing and building RESTful APIs and microservices using frameworks such as FastAPI , Flask or Django . Strong SQL skills with experience designing performant relational database solutions. Commercial experience with AWS and/or Azure cloud platforms. Experience designing distributed systems and scalable architectures. Experience with Docker , Kubernetes and containerised deployments. Strong understanding of CI/CD pipelines, automated testing and engineering best practices. Excellent communication skills with experience mentoring engineers and collaborating across cross-functional teams. Desirable Experience Experience with any of the following would be highly advantageous: Large Language Models (LLMs) Amazon Bedrock Azure AI Foundry PyTorch FastAPI Knowledge Graphs Kubernetes Docker Infrastructure as Code MLOps Event-Driven Architecture Vector Databases Retrieval-Augmented Generation (RAG) Technology Stack Python SQL FastAPI PyTorch Docker Kubernetes AWS Azure Git CI/CD Knowledge Graphs AI / Large Language Models (LLMs) Amazon Bedrock Azure AI Foundry What's on Offer 65,000 - 75,000 salary Remote-first role with flexibility to work anywhere in the UK Optional hybrid working from the London office (2 days per week) Annual bonus Private healthcare Pension scheme 25+ days annual leave plus bank holidays Learning and development budget Career progression within a growing AI Engineering function Opportunity to work on enterprise-scale AI, Machine Learning and Generative AI initiatives using the latest technologies Collaborative engineering culture focused on innovation, knowledge sharing and continuous improvement Eligibility Applicants must have the right to work in the UK . Unfortunately, visa sponsorship is not available , so we are unable to consider candidates requiring current or future sponsorship. If you're passionate about building production-grade AI platforms and want to work on cutting-edge AI solutions with the flexibility of remote working, we'd love to hear from you.
Aug 11, 2026
Full time
Senior AI Engineer Location: Remote (UK) or Hybrid - London (2 days per week in the office if London-based) Salary: 65,000 - 80,000 + Excellent Benefits Job Type: Permanent Please note: Applicants must have the right to work in the UK. Unfortunately, visa sponsorship is not available for this position. The Opportunity We're looking for a Senior AI Engineer to join a growing AI and Data Engineering function responsible for designing, building and scaling enterprise-grade AI platforms. This is an exciting opportunity to work on cutting-edge Artificial Intelligence, Machine Learning and Large Language Model (LLM) initiatives, helping to transform innovative AI research into secure, scalable production systems. The role is open to candidates across the UK , with fully remote working available . For those based near London, there is the option to work hybrid (2 days per week in the office) . You'll work alongside Data Scientists, Software Engineers and Product teams, taking ownership of complex AI services, data pipelines and cloud-native architectures that power intelligent products used at scale. The Role As a Senior AI Engineer, you'll play a key role in designing, architecting and delivering AI infrastructure with a high degree of autonomy. You'll help bridge the gap between research and production by developing scalable services, engineering robust data pipelines and implementing best practices across modern AI engineering. You'll also provide technical leadership within your squad, mentoring engineers and influencing engineering standards across the wider technology organisation. Key Responsibilities Design, build and maintain scalable AI data pipelines and processing workflows. Architect cloud-native backend systems and distributed AI services. Collaborate closely with Data Scientists to productionise Machine Learning and NLP models. Develop high-performance RESTful APIs and microservices for AI model serving. Drive system reliability, monitoring, observability and performance optimisation. Champion engineering best practices including CI/CD, automated testing and Infrastructure as Code. Improve integration, interoperability and data exchange across enterprise platforms. Translate complex technical requirements into scalable engineering solutions. Mentor junior engineers and provide technical leadership across projects. Contribute to architecture decisions, engineering standards and long-term technology strategy. About You You'll be an experienced Software, Data or AI Engineer with a passion for building scalable AI solutions and solving complex engineering challenges. You'll ideally have: A degree in Computer Science, Software Engineering, Artificial Intelligence or a related discipline. 5+ years' commercial experience in AI Engineering, Machine Learning Engineering, Backend Engineering or Data Engineering. Expert-level Python development experience. Experience productionising Machine Learning, NLP or Generative AI models. Strong experience designing and building RESTful APIs and microservices using frameworks such as FastAPI , Flask or Django . Strong SQL skills with experience designing performant relational database solutions. Commercial experience with AWS and/or Azure cloud platforms. Experience designing distributed systems and scalable architectures. Experience with Docker , Kubernetes and containerised deployments. Strong understanding of CI/CD pipelines, automated testing and engineering best practices. Excellent communication skills with experience mentoring engineers and collaborating across cross-functional teams. Desirable Experience Experience with any of the following would be highly advantageous: Large Language Models (LLMs) Amazon Bedrock Azure AI Foundry PyTorch FastAPI Knowledge Graphs Kubernetes Docker Infrastructure as Code MLOps Event-Driven Architecture Vector Databases Retrieval-Augmented Generation (RAG) Technology Stack Python SQL FastAPI PyTorch Docker Kubernetes AWS Azure Git CI/CD Knowledge Graphs AI / Large Language Models (LLMs) Amazon Bedrock Azure AI Foundry What's on Offer 65,000 - 75,000 salary Remote-first role with flexibility to work anywhere in the UK Optional hybrid working from the London office (2 days per week) Annual bonus Private healthcare Pension scheme 25+ days annual leave plus bank holidays Learning and development budget Career progression within a growing AI Engineering function Opportunity to work on enterprise-scale AI, Machine Learning and Generative AI initiatives using the latest technologies Collaborative engineering culture focused on innovation, knowledge sharing and continuous improvement Eligibility Applicants must have the right to work in the UK . Unfortunately, visa sponsorship is not available , so we are unable to consider candidates requiring current or future sponsorship. If you're passionate about building production-grade AI platforms and want to work on cutting-edge AI solutions with the flexibility of remote working, we'd love to hear from you.
The Company Lab 1 is a fast-growing cybersecurity startup, which identifies and interprets exposed data on behalf of our clients. Lab 1's AI SaaS platform analyses the full corpus of exposed corporate data in near real time, providing customers with the assurance that they'll know the unknown and reducing the risk, cost and anxiety associated with exposed data across complex supply chains. Salary is industry competitive (dependent on skills and experience), after a qualifying period you may be eligible for a share in the company through an options grant. The Role Using the power of AI and Machine Learning, we deliver compromised data intelligence on any company within any supply chain. The data that powers those insights, a vast, messy, constantly changing corpus of exposed and compromised information, is the heart of our product. We are hiring a Senior Data Engineer to own and evolve the pipelines and data platform that turn raw exposed data into reliable, queryable intelligence. You will design, build and operate the batch and streaming systems that ingest, transform, model and serve data at scale, feeding our analytics, our ML models and our customer-facing platform. You will be the go-to expert for how data moves through Lab 1, working closely with founders, platform and software engineers in a small, friendly, international team. We are looking for a versatile and proactive engineer who cares deeply about data quality, correctness and scale. Your primary focus will be owning our data pipelines end to end, while also working alongside our ML efforts on the early stages of the training pipeline (data cleaning and feature engineering) to make sure our models are built on trustworthy, well-structured data As a core member of the engineering team, your mission will be to make our data trustworthy, timely and easy to build on.You will spend your time understanding how the team and our models consume data, architecting robust pipelines, and delivering clean, well-modelled datasets that let us ship high-quality intelligence faster and more safely. Your work will be the foundation that enables us to solve some of our most interesting, urgent, and taxing problems. You will report to the Chief Data Officer. Required demonstrable experience in: Designing, building and operating production data pipelines end to end, across both batch and streaming Strong Python for data engineering, including hands-on PySpark at scale (AWS EMR) Strong SQL modelling, transforming and querying large datasets Streaming data with Kafka Ingesting large, heterogeneous, unclean data from many sources and making it reliable Lakehouse and data warehousing patterns: Apache Iceberg, Athena, S3, columnar formats (ORC) Workflow orchestration with Airflow Search and indexing with OpenSearch Infrastructure as Code, specifically Terraform Managing core AWS services Building and maintaining CI/CD pipelines, ideally with GitHub Actions Data quality, observability, lineage and cost awareness through effective monitoring Supporting ML/AI workflows through data cleaning and feature engineering for training pipelines We primarily work with: Python (Poetry, migrating to uv) PySpark on AWS EMR SQL Kafka Athena + S3 / Apache Iceberg (ORC) OpenSearch Airflow AWS Terraform GitHub Actions Docker We are interested in candidates who value: Team working Delivering measurable high quality software Keeping sight of the big picture Friendly technical discussions and whiteboarding This is a great opportunity to join a fast growing company at an early stage and make a significant contribution. The role will be remunerated through a salary and, after a qualifying period, you will be granted a meaningful share in the company through an options grant. Candidates must have the right to work in the United Kingdom. The role is remote first with occasional in-person meetings in London (or Norwich). Benefits 1. Company pension 2. Company options scheme
Aug 11, 2026
Full time
The Company Lab 1 is a fast-growing cybersecurity startup, which identifies and interprets exposed data on behalf of our clients. Lab 1's AI SaaS platform analyses the full corpus of exposed corporate data in near real time, providing customers with the assurance that they'll know the unknown and reducing the risk, cost and anxiety associated with exposed data across complex supply chains. Salary is industry competitive (dependent on skills and experience), after a qualifying period you may be eligible for a share in the company through an options grant. The Role Using the power of AI and Machine Learning, we deliver compromised data intelligence on any company within any supply chain. The data that powers those insights, a vast, messy, constantly changing corpus of exposed and compromised information, is the heart of our product. We are hiring a Senior Data Engineer to own and evolve the pipelines and data platform that turn raw exposed data into reliable, queryable intelligence. You will design, build and operate the batch and streaming systems that ingest, transform, model and serve data at scale, feeding our analytics, our ML models and our customer-facing platform. You will be the go-to expert for how data moves through Lab 1, working closely with founders, platform and software engineers in a small, friendly, international team. We are looking for a versatile and proactive engineer who cares deeply about data quality, correctness and scale. Your primary focus will be owning our data pipelines end to end, while also working alongside our ML efforts on the early stages of the training pipeline (data cleaning and feature engineering) to make sure our models are built on trustworthy, well-structured data As a core member of the engineering team, your mission will be to make our data trustworthy, timely and easy to build on.You will spend your time understanding how the team and our models consume data, architecting robust pipelines, and delivering clean, well-modelled datasets that let us ship high-quality intelligence faster and more safely. Your work will be the foundation that enables us to solve some of our most interesting, urgent, and taxing problems. You will report to the Chief Data Officer. Required demonstrable experience in: Designing, building and operating production data pipelines end to end, across both batch and streaming Strong Python for data engineering, including hands-on PySpark at scale (AWS EMR) Strong SQL modelling, transforming and querying large datasets Streaming data with Kafka Ingesting large, heterogeneous, unclean data from many sources and making it reliable Lakehouse and data warehousing patterns: Apache Iceberg, Athena, S3, columnar formats (ORC) Workflow orchestration with Airflow Search and indexing with OpenSearch Infrastructure as Code, specifically Terraform Managing core AWS services Building and maintaining CI/CD pipelines, ideally with GitHub Actions Data quality, observability, lineage and cost awareness through effective monitoring Supporting ML/AI workflows through data cleaning and feature engineering for training pipelines We primarily work with: Python (Poetry, migrating to uv) PySpark on AWS EMR SQL Kafka Athena + S3 / Apache Iceberg (ORC) OpenSearch Airflow AWS Terraform GitHub Actions Docker We are interested in candidates who value: Team working Delivering measurable high quality software Keeping sight of the big picture Friendly technical discussions and whiteboarding This is a great opportunity to join a fast growing company at an early stage and make a significant contribution. The role will be remunerated through a salary and, after a qualifying period, you will be granted a meaningful share in the company through an options grant. Candidates must have the right to work in the United Kingdom. The role is remote first with occasional in-person meetings in London (or Norwich). Benefits 1. Company pension 2. Company options scheme
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. Data Analytics & AI - Data Science & AI - Manager EY exists to build a better working world, we empower our people by offering the culture, tech, teams, scale, challenges, learning, and the relationships for you to personalise and build your career, helping to create long-term value for clients, people and society and build trust in the capital markets. This role can be located in our offices in Belfast or Derry/Londonderry, working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you, we are counting on your unique voice and perspective to help EY become even better, too. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. We believe that the highest-performing teams maximize the power of different perspectives and backgrounds. These teams are both diverse and inclusive and are willing to invite and learn from other perspectives. Our ability to include various viewpoints into our mindsets, behaviours and operations is fundamental to driving innovation, building strong relationships, and delivering the best solutions for our clients. The Team and the opportunity Our data and analytics team focuses on helping our clients unlock value from their information assets by embedding innovative data analytics solutions in existing business areas. Data Analytics is one of the most exciting fields in today's digital world. It offers challenging work, career development and great job satisfaction. EY's mission is to build a better working world by asking better questions and finding better answers - this is what data analytics is all about. What better way to help us achieve our mission than by working with our data science, analytics, engineering, and architecture teams as we continue this journey. In response to strong market demand, we are seeking additional individuals to enhance our existing team. We are transforming our business by embedding analytics in everything we do. We are helping our clients transform their businesses by doing the same, across industry sectors and lines of business. We are growing and so are our people. We are hiring experienced professionals in a variety of roles, this is a fantastic opportunity to contribute to the Data Analytics team who are not only changing how we deliver services to our clients but are also committed to creating a diverse environment where EY people are valued, where they feel they belong and can contribute their best in every encounter. Your key responsibilities The nature of this role means no two projects will be the same. That means you'll need to think on your feet and challenge existing practices to develop solutions for complex problems. You'll also be collaborating with colleagues across multiple service lines, so you will be expected to build relationships and identify opportunities for our clients to benefit from our expertise in other areas. Occasional travel may be necessary as you will be meeting with key clients, some of whom are the most respected in their fields. Leading diverse teams with varying skillsets, who use different Data and Analytics technologies. Lead end-to-end project delivery for data and analytics initiatives, ensuring alignment with business objectives and timelines. Develop comprehensive project plans that outline scope, objectives, timelines, and resource allocation, ensuring successful execution and delivery. Oversee project budgets, ensuring effective allocation of resources and adherence to financial constraints. Adapting your leadership style to fit team, client, and cultural needs, they will look to you to anticipate and identify risks and escalate issues as appropriate. Engage with key stakeholders across client organisations to understand their data needs, communicate project progress, and ensure alignment with their strategic/project goals. As an influential member of the team, you'll create a positive learning culture and will coach and counsel junior members of the team and help them develop. Working in multi-disciplinary teams across a range of industries helping our clients, using our analytics to transform and improve their business. Drawing on your knowledge and experience, you'll create innovative insights which will add value to both our clients and to the broader society. Champion operational efficiency improvements on projects and internal initiatives and will consistently drive projects to completion, and ensure the work is of high quality. Contribute to the development of the wider Data & Analytics team's future by building our brand, attending relevant events, collaborating with other internal teams, and producing thought leadership. Actively establish, maintain, and strengthen internal and external relationships. With guidance from partners, directors, and other senior managers, you'll identify potential business opportunities for EY to incubate or drive new solutions and services. To qualify for the role, you must have A completed degree (bachelors, masters, or PhD) Proven experience, significant experience as a Data Analytics professional, or similar role in a consulting environment or equivalent with a focus on project delivery and management. Proven experience in leading cross-functional teams and managing complex projects. Demonstrated ability to supervise and develop others, effectively communicate, managing client expectations, delivering quality projects, working to timelines, growth of the team, bringing energy, enthusiasm, and the courage to lead and develop others. Ability to communicate technical information to non-technical colleagues and clients. Ambition to continuously develop your skills and abilities. Analytically minded and have the ability to assimilate and apply new techniques and knowledge, to deliver insights and solve problems. Professional with ability to work in diverse, evolving, and dynamic client environments. Working knowledge of key analytics tools such as: Reporting and visualisation: PowerBI, Tableau, Qlik Programming languages: SQL, Python, R Cloud computing platforms: Azure, AWS, GCP Experience in any aspects of the data analytics lifecycle, for example: Data Strategy Data Manipulation and ETL Data Analysis & Visualization Applying machine learning statistical analysis and other advanced analytics techniques to key business issues faced by our clients that can transform and improve their entire organisation. A passion to contribute to the growth of the team, bringing energy, enthusiasm, and the courage to lead and develop others. Relevant experience in Agile Delivery. What working at EY offers We offer a competitive remuneration package. 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: Support and coaching from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that's right for you All our employees are given a benefits package which they can tailor to suit their individual preferences. Our range of benefits include: Pension Discounted health insurance Web Doctor - Free unlimited online GP consultations for you and your family The purchase of additional annual leave Hybrid Working Free Gym membership Travel Pass Maternity & Paternity leave Bike to work Scheme Recognition Awards Cash incentives for referrals Work Mobile TECH MBA paid by EY Wellness rooms Available in some offices EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance. Career Progression When you join EY, you will be supported to ensure that you are enhancing your skills from day one. Continuous learning, where you can develop the mindset and skills to navigate whatever comes next. As you grow and develop here, you'll discover opportunities to help customise your career journey, so that it's as unique as you are - success is defined by you . click apply for full job details
Aug 11, 2026
Full time
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. Data Analytics & AI - Data Science & AI - Manager EY exists to build a better working world, we empower our people by offering the culture, tech, teams, scale, challenges, learning, and the relationships for you to personalise and build your career, helping to create long-term value for clients, people and society and build trust in the capital markets. This role can be located in our offices in Belfast or Derry/Londonderry, working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you, we are counting on your unique voice and perspective to help EY become even better, too. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. We believe that the highest-performing teams maximize the power of different perspectives and backgrounds. These teams are both diverse and inclusive and are willing to invite and learn from other perspectives. Our ability to include various viewpoints into our mindsets, behaviours and operations is fundamental to driving innovation, building strong relationships, and delivering the best solutions for our clients. The Team and the opportunity Our data and analytics team focuses on helping our clients unlock value from their information assets by embedding innovative data analytics solutions in existing business areas. Data Analytics is one of the most exciting fields in today's digital world. It offers challenging work, career development and great job satisfaction. EY's mission is to build a better working world by asking better questions and finding better answers - this is what data analytics is all about. What better way to help us achieve our mission than by working with our data science, analytics, engineering, and architecture teams as we continue this journey. In response to strong market demand, we are seeking additional individuals to enhance our existing team. We are transforming our business by embedding analytics in everything we do. We are helping our clients transform their businesses by doing the same, across industry sectors and lines of business. We are growing and so are our people. We are hiring experienced professionals in a variety of roles, this is a fantastic opportunity to contribute to the Data Analytics team who are not only changing how we deliver services to our clients but are also committed to creating a diverse environment where EY people are valued, where they feel they belong and can contribute their best in every encounter. Your key responsibilities The nature of this role means no two projects will be the same. That means you'll need to think on your feet and challenge existing practices to develop solutions for complex problems. You'll also be collaborating with colleagues across multiple service lines, so you will be expected to build relationships and identify opportunities for our clients to benefit from our expertise in other areas. Occasional travel may be necessary as you will be meeting with key clients, some of whom are the most respected in their fields. Leading diverse teams with varying skillsets, who use different Data and Analytics technologies. Lead end-to-end project delivery for data and analytics initiatives, ensuring alignment with business objectives and timelines. Develop comprehensive project plans that outline scope, objectives, timelines, and resource allocation, ensuring successful execution and delivery. Oversee project budgets, ensuring effective allocation of resources and adherence to financial constraints. Adapting your leadership style to fit team, client, and cultural needs, they will look to you to anticipate and identify risks and escalate issues as appropriate. Engage with key stakeholders across client organisations to understand their data needs, communicate project progress, and ensure alignment with their strategic/project goals. As an influential member of the team, you'll create a positive learning culture and will coach and counsel junior members of the team and help them develop. Working in multi-disciplinary teams across a range of industries helping our clients, using our analytics to transform and improve their business. Drawing on your knowledge and experience, you'll create innovative insights which will add value to both our clients and to the broader society. Champion operational efficiency improvements on projects and internal initiatives and will consistently drive projects to completion, and ensure the work is of high quality. Contribute to the development of the wider Data & Analytics team's future by building our brand, attending relevant events, collaborating with other internal teams, and producing thought leadership. Actively establish, maintain, and strengthen internal and external relationships. With guidance from partners, directors, and other senior managers, you'll identify potential business opportunities for EY to incubate or drive new solutions and services. To qualify for the role, you must have A completed degree (bachelors, masters, or PhD) Proven experience, significant experience as a Data Analytics professional, or similar role in a consulting environment or equivalent with a focus on project delivery and management. Proven experience in leading cross-functional teams and managing complex projects. Demonstrated ability to supervise and develop others, effectively communicate, managing client expectations, delivering quality projects, working to timelines, growth of the team, bringing energy, enthusiasm, and the courage to lead and develop others. Ability to communicate technical information to non-technical colleagues and clients. Ambition to continuously develop your skills and abilities. Analytically minded and have the ability to assimilate and apply new techniques and knowledge, to deliver insights and solve problems. Professional with ability to work in diverse, evolving, and dynamic client environments. Working knowledge of key analytics tools such as: Reporting and visualisation: PowerBI, Tableau, Qlik Programming languages: SQL, Python, R Cloud computing platforms: Azure, AWS, GCP Experience in any aspects of the data analytics lifecycle, for example: Data Strategy Data Manipulation and ETL Data Analysis & Visualization Applying machine learning statistical analysis and other advanced analytics techniques to key business issues faced by our clients that can transform and improve their entire organisation. A passion to contribute to the growth of the team, bringing energy, enthusiasm, and the courage to lead and develop others. Relevant experience in Agile Delivery. What working at EY offers We offer a competitive remuneration package. 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: Support and coaching from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that's right for you All our employees are given a benefits package which they can tailor to suit their individual preferences. Our range of benefits include: Pension Discounted health insurance Web Doctor - Free unlimited online GP consultations for you and your family The purchase of additional annual leave Hybrid Working Free Gym membership Travel Pass Maternity & Paternity leave Bike to work Scheme Recognition Awards Cash incentives for referrals Work Mobile TECH MBA paid by EY Wellness rooms Available in some offices EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance. Career Progression When you join EY, you will be supported to ensure that you are enhancing your skills from day one. Continuous learning, where you can develop the mindset and skills to navigate whatever comes next. As you grow and develop here, you'll discover opportunities to help customise your career journey, so that it's as unique as you are - success is defined by you . click apply for full job details
hackajob is collaborating with Raytheon to connect them with exceptional professionals for this role. At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. Raytheon UK have a full time, permanent opportunity for a Senior Software Engineer to join our team on our Manchester or Gloucester sites. You'll be part of our experienced software dev function, working in a cross-functional team, delivering and deploying critical software across a variety of business areas. Due to the interesting work we do and the sector this team is working in, we require all candidates to be willing and eligible to hold SC and eDV clearance. In this area of the business we prove DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission critical systems using the latest technologies and innovations. Responsibilities Design and build software using industry best practice Collaborate with stakeholders and other engineers Contribute to the completion of milestones associated with your project Contribute to continuous improvement within your team Collaborate with your peers on technical direction within your team Desired Skills and Experience Core Software Engineering JavaScript frameworks (React, NextJS) TypeScript Python Java REST API development OpenAPI / Swagger Cloud & Infrastructure Cloud services (AWS or Azure) Containerisation & Orchestration (Docker, Kubernetes, OpenShift) Infrastructure as Code (Terraform, Ansible) Data & Search Technologies Relational Databases (e.g. PostgreSQL) Elasticsearch / Opensearch Testing & Quality Unit testing and automation Testing frameworks (e.g. Mocha, Jest, Cypress) Delivery & Collaboration Experience working in an Agile delivery team Use of code repositories (e.g. GitLab); familiarity with branching strategies, pull requests and merge processes
Aug 10, 2026
Full time
hackajob is collaborating with Raytheon to connect them with exceptional professionals for this role. At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. Raytheon UK have a full time, permanent opportunity for a Senior Software Engineer to join our team on our Manchester or Gloucester sites. You'll be part of our experienced software dev function, working in a cross-functional team, delivering and deploying critical software across a variety of business areas. Due to the interesting work we do and the sector this team is working in, we require all candidates to be willing and eligible to hold SC and eDV clearance. In this area of the business we prove DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission critical systems using the latest technologies and innovations. Responsibilities Design and build software using industry best practice Collaborate with stakeholders and other engineers Contribute to the completion of milestones associated with your project Contribute to continuous improvement within your team Collaborate with your peers on technical direction within your team Desired Skills and Experience Core Software Engineering JavaScript frameworks (React, NextJS) TypeScript Python Java REST API development OpenAPI / Swagger Cloud & Infrastructure Cloud services (AWS or Azure) Containerisation & Orchestration (Docker, Kubernetes, OpenShift) Infrastructure as Code (Terraform, Ansible) Data & Search Technologies Relational Databases (e.g. PostgreSQL) Elasticsearch / Opensearch Testing & Quality Unit testing and automation Testing frameworks (e.g. Mocha, Jest, Cypress) Delivery & Collaboration Experience working in an Agile delivery team Use of code repositories (e.g. GitLab); familiarity with branching strategies, pull requests and merge processes
AI Engineer - Data & Reporting Location: London (Hybrid 2/3 days per week) Salary: £70,000-£80,000 + Bonus We're working with a leading global technology consultancy that is investing heavily in Artificial Intelligence, Machine Learning and Advanced Analytics. They are looking for an AI Engineer to design, develop and deploy cutting-edge AI solutions that help transform enterprise reporting, analytics and business decision-making. This is an exciting opportunity to work on enterprise-scale AI projects, leveraging the latest Generative AI technologies including LLMs, Agentic AI and Retrieval-Augmented Generation (RAG), while collaborating with data scientists, engineers and senior business stakeholders. The Role As an AI Engineer, you'll take ownership of designing and delivering AI-powered solutions from concept through to production. You'll work across machine learning, data engineering and software development to create scalable AI applications that improve reporting, forecasting and business intelligence. You'll be involved in the full AI lifecycle including data exploration, model development, deployment, monitoring and continuous improvement. What You'll Be Doing Designing and developing enterprise AI and Machine Learning solutions Building Agentic AI frameworks and Retrieval-Augmented Generation (RAG) applications Developing intelligent reporting, recommendation and forecasting solutions Working with Large Language Models (LLMs) and foundation models Deploying production-ready machine learning models into cloud environments Building APIs and microservices to integrate AI capabilities into enterprise platforms Collaborating closely with business stakeholders to translate requirements into scalable AI solutions Driving best practice across AI governance, model monitoring and MLOps Evaluating emerging AI technologies and identifying opportunities for innovation Skills & Experience We're looking for candidates with experience across several of the following: Commercial experience developing AI or Machine Learning solutions Strong Python development skills Experience with Machine Learning frameworks such as TensorFlow, PyTorch or Scikit-learn Experience with Generative AI technologies including LLMs, LangChain or LlamaIndex Hands-on experience building RAG solutions and working with vector databases Experience with MLOps, CI/CD and containerisation Strong SQL skills and experience working with large datasets Cloud experience across Azure, AWS or GCP Excellent communication skills with the ability to engage both technical and non-technical stakeholders
Aug 08, 2026
Full time
AI Engineer - Data & Reporting Location: London (Hybrid 2/3 days per week) Salary: £70,000-£80,000 + Bonus We're working with a leading global technology consultancy that is investing heavily in Artificial Intelligence, Machine Learning and Advanced Analytics. They are looking for an AI Engineer to design, develop and deploy cutting-edge AI solutions that help transform enterprise reporting, analytics and business decision-making. This is an exciting opportunity to work on enterprise-scale AI projects, leveraging the latest Generative AI technologies including LLMs, Agentic AI and Retrieval-Augmented Generation (RAG), while collaborating with data scientists, engineers and senior business stakeholders. The Role As an AI Engineer, you'll take ownership of designing and delivering AI-powered solutions from concept through to production. You'll work across machine learning, data engineering and software development to create scalable AI applications that improve reporting, forecasting and business intelligence. You'll be involved in the full AI lifecycle including data exploration, model development, deployment, monitoring and continuous improvement. What You'll Be Doing Designing and developing enterprise AI and Machine Learning solutions Building Agentic AI frameworks and Retrieval-Augmented Generation (RAG) applications Developing intelligent reporting, recommendation and forecasting solutions Working with Large Language Models (LLMs) and foundation models Deploying production-ready machine learning models into cloud environments Building APIs and microservices to integrate AI capabilities into enterprise platforms Collaborating closely with business stakeholders to translate requirements into scalable AI solutions Driving best practice across AI governance, model monitoring and MLOps Evaluating emerging AI technologies and identifying opportunities for innovation Skills & Experience We're looking for candidates with experience across several of the following: Commercial experience developing AI or Machine Learning solutions Strong Python development skills Experience with Machine Learning frameworks such as TensorFlow, PyTorch or Scikit-learn Experience with Generative AI technologies including LLMs, LangChain or LlamaIndex Hands-on experience building RAG solutions and working with vector databases Experience with MLOps, CI/CD and containerisation Strong SQL skills and experience working with large datasets Cloud experience across Azure, AWS or GCP Excellent communication skills with the ability to engage both technical and non-technical stakeholders
Senior Software Developer Salary: Up to £80,000 + Benefits + Bonus Location: Newcastle, London, Leeds, Manchester, Blackpool or Sheffield Working Hours: 40 hours per week A globally recognised organisation is looking for an experienced Senior Software Developer to help design, develop and deliver secure, scalable digital solutions across major public sector transformation programmes. This is a fantastic opportunity for a hands on software engineer with strong Python development experience to work on enterprise scale applications using AWS, modern DevOps practices and cloud native technologies. Working within Agile delivery teams, the Senior Software Developer will help build high quality digital services while influencing engineering standards and mentoring other developers. Responsibilities - Senior Software Developer Design, develop and maintain scalable Python based applications and services. Build secure RESTful APIs and integration solutions supporting enterprise platforms. Develop cloud native applications using AWS and modern engineering practices. Work closely with DevOps engineers to deliver automated, reliable deployments. Ensure high standards of software quality through testing, code reviews and engineering best practice. Design and implement microservices and event driven solutions. Support production systems, improving performance, resilience and reliability. Mentor developers and provide technical leadership across engineering teams. Contribute to Agile planning, technical design and solution delivery. Produce high quality technical documentation and support continuous improvement initiatives. Essential Skills - Senior Software Developer Strong commercial experience developing applications using Python. Hands on experience building and consuming REST APIs. Experience using REST Assured for API testing and automation. Commercial experience working with AWS. Strong understanding of DevOps practices and modern software delivery. Experience working with CI/CD pipelines. Experience developing scalable, secure enterprise applications. Strong understanding of software engineering best practices, testing and code quality. Experience mentoring developers and supporting technical delivery. Experience working within Agile delivery environments. Desirable Skills - Senior Software Developer Experience with Azure cloud technologies. Knowledge of microservices and event driven architectures. Experience working within UK Public Sector environments. Exposure to AI or Machine Learning technologies. If you are interested in this Senior Software Developer opportunity, please apply with a copy of your most up to date CV. Senior Software Developer, Senior Python Developer, Python Developer, Software Engineer, Senior Software Engineer, Full Stack Developer, Backend Developer, Full Stack Engineer, Python Engineer
Aug 08, 2026
Full time
Senior Software Developer Salary: Up to £80,000 + Benefits + Bonus Location: Newcastle, London, Leeds, Manchester, Blackpool or Sheffield Working Hours: 40 hours per week A globally recognised organisation is looking for an experienced Senior Software Developer to help design, develop and deliver secure, scalable digital solutions across major public sector transformation programmes. This is a fantastic opportunity for a hands on software engineer with strong Python development experience to work on enterprise scale applications using AWS, modern DevOps practices and cloud native technologies. Working within Agile delivery teams, the Senior Software Developer will help build high quality digital services while influencing engineering standards and mentoring other developers. Responsibilities - Senior Software Developer Design, develop and maintain scalable Python based applications and services. Build secure RESTful APIs and integration solutions supporting enterprise platforms. Develop cloud native applications using AWS and modern engineering practices. Work closely with DevOps engineers to deliver automated, reliable deployments. Ensure high standards of software quality through testing, code reviews and engineering best practice. Design and implement microservices and event driven solutions. Support production systems, improving performance, resilience and reliability. Mentor developers and provide technical leadership across engineering teams. Contribute to Agile planning, technical design and solution delivery. Produce high quality technical documentation and support continuous improvement initiatives. Essential Skills - Senior Software Developer Strong commercial experience developing applications using Python. Hands on experience building and consuming REST APIs. Experience using REST Assured for API testing and automation. Commercial experience working with AWS. Strong understanding of DevOps practices and modern software delivery. Experience working with CI/CD pipelines. Experience developing scalable, secure enterprise applications. Strong understanding of software engineering best practices, testing and code quality. Experience mentoring developers and supporting technical delivery. Experience working within Agile delivery environments. Desirable Skills - Senior Software Developer Experience with Azure cloud technologies. Knowledge of microservices and event driven architectures. Experience working within UK Public Sector environments. Exposure to AI or Machine Learning technologies. If you are interested in this Senior Software Developer opportunity, please apply with a copy of your most up to date CV. Senior Software Developer, Senior Python Developer, Python Developer, Software Engineer, Senior Software Engineer, Full Stack Developer, Backend Developer, Full Stack Engineer, Python Engineer
Senior Google Cloud Architect Shape the Future of AI & Data with Us At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world. Your Mission As Senior Google Cloud Architect , you will shape the architecture for key projects. You'll be engaging with our customers and prospects to provide pre & post sales architectural advice and thought leadership for machine learning, analytics, and data migration projects. In addition to that, you will be helping us to build out the architectural side of our next-generation ai products. This is an excellent opportunity for an experienced professional in cloud technologies who would like to work as part of a team of experts in the fields of AI and data, as a subject matter expert in solution/cloud architecture. The role is customer-facing, working closely with business and technical influencers, and will require a background in Computer Science. Successful candidates will bring multiple years' experience with cloud platforms like Google Cloud or AWS. Ideally, you'll have served as an SME in designing and migrating applications to live in the cloud, working with complex cloud deployments, and being adept at the design and implementation of complex platforms. What You'll Do Innovative Technology Work: Utilise cutting-edge, scalable cloud and data processing technologies to develop advanced solutions for customers. Project Leadership: Oversee the design and implementation of enterprise-scale Data and AI projects. Technical Thought Leadership: Introduce innovative ideas and approaches to enhance Datatonic's capabilities and methodologies. Team and Architecture Development: Shape the architecture team and mentor team members while promoting technical excellence. Sales Support: Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for challenging requirements. Solution Development: Partner with GTM teams to create and refine new market-ready solutions with a focus on technical leadership and governance. Customer Engagement: Conduct architecture reviews for key clients, delivering actionable recommendations to senior stakeholders. Technical Best Practices: Define and embed best practices into project delivery, ensuring quality and consistency across initiatives. Knowledge Sharing: Contribute to Datatonic's internal knowledge base, including technical collateral and thought leadership materials. Agile Collaboration: Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, and data engineers. Tech Partner Collaboration: Collaborate closely with partners such as Google Cloud, Tableau, and Looker to leverage their technologies effectively. Mentorship and Leadership: Guide team members, fostering a culture of growth and innovation. What You'll Bring Educational Background: Bachelor's or Master's degree in Computer Science or a related technical discipline. Proven Expertise: Hands-on experience in designing and implementing large-scale big data cloud architectures. End-to-End Ownership: Demonstrated ability to manage projects from conception to completion, employing creative and practical solutions. Technical Prowess: Strong analytical skills with a focus on innovation and technical excellence. Effective Communication: Exceptional verbal and written communication skills, with an eye for detail and the ability to deliver authoritative presentations and proposals. Stakeholder Management: Skills in developing and maintaining relationships with key external stakeholders at various organizational levels. Pre-Sales Experience: Extensive experience in technical pre-sales, with the ability to champion and promote innovative, disruptive proposals. Holistic Cloud Expertise: Comprehensive knowledge of end-to-end production-grade cloud technologies, covering areas such as data, security, and networking. Container Technology Experience: Proficiency in working with container technologies and leveraging them effectively in projects. Programming Proficiency: Multiple years of experience in programming languages such as Python, Java, and SQL, with a focus on building scalable, high-performance code. Solution Delivery: Demonstrated experience in delivering scalable, robust, and high-performing solutions to meet business needs. Bonus Points If You Have: Certifications: Google Cloud or AWS Certified Solutions Architect certification. ETL and Data Pipeline Expertise: Experience with ETL tools and Hadoop-based technologies (e.g., Spark) and/or batch/streaming data pipelines such as Beam and Flink. Data Architecture: Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery, Azure Synapse, Redshift, Oracle, Teradata, etc. Analytics Tools: Experience creating analytical products using tools such as Looker, Tableau, Data Studio, PowerBI, or Qlik. Agile Methodologies: Familiarity with Agile frameworks, including Scrum. Data Science Knowledge: Basic understanding of topics like machine learning, data mining, statistics, and data visualisation, with some practical experience preferred. Open-Source Contributions: History of contributions to open-source projects, showcasing collaboration and innovation. What's in It for You? We believe in empowering our team to thrive, with benefits including: Holiday : 25 days plus bank holidays (obviously!) Health Perks: 4500 kr per year Healthcare Allowance (paid monthly, after probation) Fitness & Wellbeing: Up to 5000 kr per year Wellness Allowance (payable on receipt of invoice) Hybrid Model: 1200 kr WFH Equipment Allowance (after probation) Learning & Growth: Access to platforms like Udemy to fuel your curiosity. Pension: Private Salary Sacrifice Pension available Why Datatonic? Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn't just encouraged - it's embedded in everything we do. If you're ready to inspire change and deliver value at the forefront of data and AI, we'd love to hear from you! Are you ready to make an impact? Apply now and take your career to the next level. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Aug 08, 2026
Full time
Senior Google Cloud Architect Shape the Future of AI & Data with Us At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world. Your Mission As Senior Google Cloud Architect , you will shape the architecture for key projects. You'll be engaging with our customers and prospects to provide pre & post sales architectural advice and thought leadership for machine learning, analytics, and data migration projects. In addition to that, you will be helping us to build out the architectural side of our next-generation ai products. This is an excellent opportunity for an experienced professional in cloud technologies who would like to work as part of a team of experts in the fields of AI and data, as a subject matter expert in solution/cloud architecture. The role is customer-facing, working closely with business and technical influencers, and will require a background in Computer Science. Successful candidates will bring multiple years' experience with cloud platforms like Google Cloud or AWS. Ideally, you'll have served as an SME in designing and migrating applications to live in the cloud, working with complex cloud deployments, and being adept at the design and implementation of complex platforms. What You'll Do Innovative Technology Work: Utilise cutting-edge, scalable cloud and data processing technologies to develop advanced solutions for customers. Project Leadership: Oversee the design and implementation of enterprise-scale Data and AI projects. Technical Thought Leadership: Introduce innovative ideas and approaches to enhance Datatonic's capabilities and methodologies. Team and Architecture Development: Shape the architecture team and mentor team members while promoting technical excellence. Sales Support: Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for challenging requirements. Solution Development: Partner with GTM teams to create and refine new market-ready solutions with a focus on technical leadership and governance. Customer Engagement: Conduct architecture reviews for key clients, delivering actionable recommendations to senior stakeholders. Technical Best Practices: Define and embed best practices into project delivery, ensuring quality and consistency across initiatives. Knowledge Sharing: Contribute to Datatonic's internal knowledge base, including technical collateral and thought leadership materials. Agile Collaboration: Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, and data engineers. Tech Partner Collaboration: Collaborate closely with partners such as Google Cloud, Tableau, and Looker to leverage their technologies effectively. Mentorship and Leadership: Guide team members, fostering a culture of growth and innovation. What You'll Bring Educational Background: Bachelor's or Master's degree in Computer Science or a related technical discipline. Proven Expertise: Hands-on experience in designing and implementing large-scale big data cloud architectures. End-to-End Ownership: Demonstrated ability to manage projects from conception to completion, employing creative and practical solutions. Technical Prowess: Strong analytical skills with a focus on innovation and technical excellence. Effective Communication: Exceptional verbal and written communication skills, with an eye for detail and the ability to deliver authoritative presentations and proposals. Stakeholder Management: Skills in developing and maintaining relationships with key external stakeholders at various organizational levels. Pre-Sales Experience: Extensive experience in technical pre-sales, with the ability to champion and promote innovative, disruptive proposals. Holistic Cloud Expertise: Comprehensive knowledge of end-to-end production-grade cloud technologies, covering areas such as data, security, and networking. Container Technology Experience: Proficiency in working with container technologies and leveraging them effectively in projects. Programming Proficiency: Multiple years of experience in programming languages such as Python, Java, and SQL, with a focus on building scalable, high-performance code. Solution Delivery: Demonstrated experience in delivering scalable, robust, and high-performing solutions to meet business needs. Bonus Points If You Have: Certifications: Google Cloud or AWS Certified Solutions Architect certification. ETL and Data Pipeline Expertise: Experience with ETL tools and Hadoop-based technologies (e.g., Spark) and/or batch/streaming data pipelines such as Beam and Flink. Data Architecture: Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery, Azure Synapse, Redshift, Oracle, Teradata, etc. Analytics Tools: Experience creating analytical products using tools such as Looker, Tableau, Data Studio, PowerBI, or Qlik. Agile Methodologies: Familiarity with Agile frameworks, including Scrum. Data Science Knowledge: Basic understanding of topics like machine learning, data mining, statistics, and data visualisation, with some practical experience preferred. Open-Source Contributions: History of contributions to open-source projects, showcasing collaboration and innovation. What's in It for You? We believe in empowering our team to thrive, with benefits including: Holiday : 25 days plus bank holidays (obviously!) Health Perks: 4500 kr per year Healthcare Allowance (paid monthly, after probation) Fitness & Wellbeing: Up to 5000 kr per year Wellness Allowance (payable on receipt of invoice) Hybrid Model: 1200 kr WFH Equipment Allowance (after probation) Learning & Growth: Access to platforms like Udemy to fuel your curiosity. Pension: Private Salary Sacrifice Pension available Why Datatonic? Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn't just encouraged - it's embedded in everything we do. If you're ready to inspire change and deliver value at the forefront of data and AI, we'd love to hear from you! Are you ready to make an impact? Apply now and take your career to the next level. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Lead Data Engineer Location: London (Hybrid) Salary: 80,000- 115,000 Hexwired has partnered with an exciting AI start-up developing an intelligent automation platform that is transforming the B2C service. They're now looking for a Lead Data Engineer to design and build the data infrastructure that will power the next generation of their AI platform. As one of the first senior data hires, you'll take ownership of the company's data architecture, building scalable pipelines, real-time data processing systems and AI-ready infrastructure while helping shape the future engineering team. Key Responsibilities Design and build scalable batch and real-time data pipelines. Develop data ingestion, transformation and storage solutions for operational and AI workloads. Build and optimise vector search, retrieval systems and ML data pipelines. Ensure data reliability, governance, monitoring and observability across the platform. Work closely with AI, backend and product teams to support model training, inference and product development. Optimise large-scale datasets and database performance. Help define engineering standards and mentor future data engineers. Requirements 7+ years' experience in Data Engineering or Backend Engineering. Strong Python development experience. Experience building distributed data platforms and scalable pipelines. Excellent knowledge of PostgreSQL (or similar relational databases) and NoSQL databases. Experience with vector databases such as Qdrant, Milvus or pgvector . Familiarity with technologies such as Apache Spark, Airflow, Kafka, Elasticsearch/OpenSearch, Pandas and Polars . Strong understanding of data modelling, storage architecture and performance optimisation. Desirable Experience working on AI or Machine Learning platforms. Knowledge of cloud platforms (AWS, Azure or GCP). JavaScript/Node.js experience. Event-driven architecture and stream processing experience. Previous experience within a high-growth start-up environment. What's on Offer Competitive salary with equity options. The opportunity to shape the data architecture of a rapidly growing AI business. Work directly alongside founders and senior engineers. High levels of ownership, autonomy and technical influence. The chance to build technology that is transforming an entire industry. If you're an experienced Data Engineer looking to play a key role in building the foundations of an innovative AI platform, we'd love to hear from you. Apply today by contacting Hexwired Recruitment. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, FPGA, Python, Javascript, C#, Electronics, Secure Boot, Power Electronics, Digital Design, Machine Learning, Data Science or Simulation contact us today.
Aug 08, 2026
Full time
Lead Data Engineer Location: London (Hybrid) Salary: 80,000- 115,000 Hexwired has partnered with an exciting AI start-up developing an intelligent automation platform that is transforming the B2C service. They're now looking for a Lead Data Engineer to design and build the data infrastructure that will power the next generation of their AI platform. As one of the first senior data hires, you'll take ownership of the company's data architecture, building scalable pipelines, real-time data processing systems and AI-ready infrastructure while helping shape the future engineering team. Key Responsibilities Design and build scalable batch and real-time data pipelines. Develop data ingestion, transformation and storage solutions for operational and AI workloads. Build and optimise vector search, retrieval systems and ML data pipelines. Ensure data reliability, governance, monitoring and observability across the platform. Work closely with AI, backend and product teams to support model training, inference and product development. Optimise large-scale datasets and database performance. Help define engineering standards and mentor future data engineers. Requirements 7+ years' experience in Data Engineering or Backend Engineering. Strong Python development experience. Experience building distributed data platforms and scalable pipelines. Excellent knowledge of PostgreSQL (or similar relational databases) and NoSQL databases. Experience with vector databases such as Qdrant, Milvus or pgvector . Familiarity with technologies such as Apache Spark, Airflow, Kafka, Elasticsearch/OpenSearch, Pandas and Polars . Strong understanding of data modelling, storage architecture and performance optimisation. Desirable Experience working on AI or Machine Learning platforms. Knowledge of cloud platforms (AWS, Azure or GCP). JavaScript/Node.js experience. Event-driven architecture and stream processing experience. Previous experience within a high-growth start-up environment. What's on Offer Competitive salary with equity options. The opportunity to shape the data architecture of a rapidly growing AI business. Work directly alongside founders and senior engineers. High levels of ownership, autonomy and technical influence. The chance to build technology that is transforming an entire industry. If you're an experienced Data Engineer looking to play a key role in building the foundations of an innovative AI platform, we'd love to hear from you. Apply today by contacting Hexwired Recruitment. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, FPGA, Python, Javascript, C#, Electronics, Secure Boot, Power Electronics, Digital Design, Machine Learning, Data Science or Simulation contact us today.
Senior AI Engineer Salary 75000 - 85000 Location: London Nw10 (Hybrid/Flexible 3 days on site) Type: Full-time ITH Systems, an ITH Group company, are looking for a Senior AI Engineer to join our growing development team at an exciting stage of our technology transformation. This is a high-impact role where you'll help shape how AI is designed, built, and deployed across the organisation. You'll work at the intersection of machine learning, software engineering, and real-world business challenges-developing intelligent, scalable solutions that drive efficiency and innovation across our operations. Working closely with enterprise architecture and technical leadership, you'll act as a key voice in Responsible AI, ensuring solutions are secure, scalable, and aligned with best practice. What You'll Be Doing Design, build, and deploy AI-driven solutions that automate processes and reduce manual effort Collaborate with Development, QA, and IT teams to deliver impactful solutions Identify opportunities to apply AI across the business and turn them into tangible outcomes Develop both rapid prototypes and production-ready systems Establish guardrails and best practices for Responsible AI usage Document system architectures to meet engineering and audit standards Champion scalable, secure, and efficient AI implementation. What We're Looking For Core Skills & Experience Strong experience in AI Engineering, ML/LLM applications, or intelligent automation Solid Java engineering background with production-quality coding practices Experience with CI/CD tools e.g., Jenkins, GitLab CI Hands-on experience with Docker and Kubernetes Experience with Infrastructure as Code (Terraform preferred) Strong Linux/server administration skill Proficiency in Python, TypeScript, or Bash scripting Excellent problem-solving and stakeholder collaboration skills Understanding of Responsible AI principles Nice to Have AWS cloud expertise Experience with microservices or serverless architectures Familiarity with Node.js, Angular, and JVM environments Python for data processing or model evaluation Why Join Us? We offer a competitive salary between 75- 85K plus benefits including healthcare cash plan scheme, on site Medical Centre, subsidised canteen facilities, company events, pension. This role is based at our modern group head office in North West London, You will play a key role in shaping AI strategy and adoption across a forward-thinking organisation. Work on meaningful problems with real business impact in a collaborative and supportive environment, with ongoing investment in your growth and development. Our group companies span Pharmaceutical, Healthcare, Pharmacy and Laboratories.
Aug 07, 2026
Full time
Senior AI Engineer Salary 75000 - 85000 Location: London Nw10 (Hybrid/Flexible 3 days on site) Type: Full-time ITH Systems, an ITH Group company, are looking for a Senior AI Engineer to join our growing development team at an exciting stage of our technology transformation. This is a high-impact role where you'll help shape how AI is designed, built, and deployed across the organisation. You'll work at the intersection of machine learning, software engineering, and real-world business challenges-developing intelligent, scalable solutions that drive efficiency and innovation across our operations. Working closely with enterprise architecture and technical leadership, you'll act as a key voice in Responsible AI, ensuring solutions are secure, scalable, and aligned with best practice. What You'll Be Doing Design, build, and deploy AI-driven solutions that automate processes and reduce manual effort Collaborate with Development, QA, and IT teams to deliver impactful solutions Identify opportunities to apply AI across the business and turn them into tangible outcomes Develop both rapid prototypes and production-ready systems Establish guardrails and best practices for Responsible AI usage Document system architectures to meet engineering and audit standards Champion scalable, secure, and efficient AI implementation. What We're Looking For Core Skills & Experience Strong experience in AI Engineering, ML/LLM applications, or intelligent automation Solid Java engineering background with production-quality coding practices Experience with CI/CD tools e.g., Jenkins, GitLab CI Hands-on experience with Docker and Kubernetes Experience with Infrastructure as Code (Terraform preferred) Strong Linux/server administration skill Proficiency in Python, TypeScript, or Bash scripting Excellent problem-solving and stakeholder collaboration skills Understanding of Responsible AI principles Nice to Have AWS cloud expertise Experience with microservices or serverless architectures Familiarity with Node.js, Angular, and JVM environments Python for data processing or model evaluation Why Join Us? We offer a competitive salary between 75- 85K plus benefits including healthcare cash plan scheme, on site Medical Centre, subsidised canteen facilities, company events, pension. This role is based at our modern group head office in North West London, You will play a key role in shaping AI strategy and adoption across a forward-thinking organisation. Work on meaningful problems with real business impact in a collaborative and supportive environment, with ongoing investment in your growth and development. Our group companies span Pharmaceutical, Healthcare, Pharmacy and Laboratories.
Agentic Technical Lead (Contract) Location: London (On-site) Contract: Contract About the RoleWe're a specialist AI consultancy that partners with CEOs, executive leadership teams, and Family Offices to turn AI ambition into measurable commercial outcomes. Rather than building technology for technology's sake, we focus on delivering practical AI solutions that reduce costs, increase revenue, and create sustainable competitive advantage. Our consultants work on complex, high-impact engagements across multiple industries, helping organisations design and implement AI strategies while avoiding wasted investment, vendor lock-in, and unnecessary operational risk. You'll work directly with senior decision-makers and play a key role in delivering enterprise-grade AI solutions from strategy through to implementation. We're looking for an experienced Agentic Technical Lead to lead the architecture, development, and deployment of advanced agentic AI systems across a portfolio of consulting engagements. The RoleAs an Agentic Technical Lead, you'll provide technical leadership across multiple AI transformation projects, working closely with clients to understand business objectives and translate them into scalable, secure, and production-ready AI solutions. You'll lead technical discovery workshops, define solution architectures, oversee implementation, and ensure successful delivery from proof of concept through to production. Working alongside engineers, data specialists, and business stakeholders, you'll establish technical standards, review solution designs, and drive engineering excellence throughout the delivery lifecycle. This is a hands-on leadership role requiring both deep technical expertise and strong consulting skills. You'll regularly engage with senior executives, communicate technical concepts in a commercially meaningful way, and help shape AI strategies that deliver measurable business value. Key Responsibilities Lead the design, architecture, and delivery of agentic AI solutions for consulting engagements. Translate business challenges into scalable AI architectures and technical roadmaps. Guide multidisciplinary engineering teams through end-to-end solution delivery. Conduct technical discovery sessions with senior stakeholders and executive teams. Review architecture, code quality, and engineering standards to ensure robust delivery. Evaluate AI tools, frameworks, and platforms to recommend the most appropriate technologies. Run proofs of concept and technical experiments to validate solution approaches. Ensure solutions meet requirements for security, scalability, governance, and compliance. Document technical decisions, risks, and outcomes for both technical and executive audiences. Mentor engineers and contribute to the continuous improvement of delivery methodologies and best practices. About YouYou'll combine strong technical capability with a consulting mindset, enjoying the challenge of solving complex business problems through AI. You'll have: Significant experience leading AI, machine learning, or agentic AI projects from concept through production. Strong software engineering skills using languages such as Python or TypeScript. Experience designing cloud-native solutions on AWS, Azure, or Google Cloud Platform. Expertise in systems architecture, APIs, integration patterns, and modern data pipelines. A track record of translating business objectives into practical technical solutions. Experience leading technical teams and coordinating delivery across multiple workstreams. Knowledge of AI governance, security, risk management, and responsible AI practices. Excellent communication skills with experience working directly with executive stakeholders. A degree in Computer Science, Engineering, Mathematics, or a related discipline, or equivalent commercial experience. Why Join Us?This is an opportunity to work on some of the most commercially impactful AI programmes in the market, partnering directly with senior business leaders on strategic transformation initiatives. You'll be part of a collaborative consultancy environment where technical excellence, commercial thinking, and measurable outcomes are equally valued. Every engagement presents new challenges, industries, and opportunities to shape how organisations adopt and scale AI responsibly. If you're passionate about building production-ready agentic AI systems and want to combine deep technical leadership with meaningful business impact, we'd love to hear from you. Eligo Recruitment is acting as an Employment Business in relation to this vacancy. Eligo is proud to be an equal opportunity employer dedicated to fostering diversity and creating an inclusive and equitable environment for employees and applicants. We actively celebrate and embrace differences, including but not limited to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran status, and disability. We encourage applications from individuals of all backgrounds and experiences and all will be considered for employment without discrimination. At Eligo Recruitment diversity, equity and inclusion is integral to achieving our mission to ensure every workplace reflects the richness of human diversity.
Aug 07, 2026
Full time
Agentic Technical Lead (Contract) Location: London (On-site) Contract: Contract About the RoleWe're a specialist AI consultancy that partners with CEOs, executive leadership teams, and Family Offices to turn AI ambition into measurable commercial outcomes. Rather than building technology for technology's sake, we focus on delivering practical AI solutions that reduce costs, increase revenue, and create sustainable competitive advantage. Our consultants work on complex, high-impact engagements across multiple industries, helping organisations design and implement AI strategies while avoiding wasted investment, vendor lock-in, and unnecessary operational risk. You'll work directly with senior decision-makers and play a key role in delivering enterprise-grade AI solutions from strategy through to implementation. We're looking for an experienced Agentic Technical Lead to lead the architecture, development, and deployment of advanced agentic AI systems across a portfolio of consulting engagements. The RoleAs an Agentic Technical Lead, you'll provide technical leadership across multiple AI transformation projects, working closely with clients to understand business objectives and translate them into scalable, secure, and production-ready AI solutions. You'll lead technical discovery workshops, define solution architectures, oversee implementation, and ensure successful delivery from proof of concept through to production. Working alongside engineers, data specialists, and business stakeholders, you'll establish technical standards, review solution designs, and drive engineering excellence throughout the delivery lifecycle. This is a hands-on leadership role requiring both deep technical expertise and strong consulting skills. You'll regularly engage with senior executives, communicate technical concepts in a commercially meaningful way, and help shape AI strategies that deliver measurable business value. Key Responsibilities Lead the design, architecture, and delivery of agentic AI solutions for consulting engagements. Translate business challenges into scalable AI architectures and technical roadmaps. Guide multidisciplinary engineering teams through end-to-end solution delivery. Conduct technical discovery sessions with senior stakeholders and executive teams. Review architecture, code quality, and engineering standards to ensure robust delivery. Evaluate AI tools, frameworks, and platforms to recommend the most appropriate technologies. Run proofs of concept and technical experiments to validate solution approaches. Ensure solutions meet requirements for security, scalability, governance, and compliance. Document technical decisions, risks, and outcomes for both technical and executive audiences. Mentor engineers and contribute to the continuous improvement of delivery methodologies and best practices. About YouYou'll combine strong technical capability with a consulting mindset, enjoying the challenge of solving complex business problems through AI. You'll have: Significant experience leading AI, machine learning, or agentic AI projects from concept through production. Strong software engineering skills using languages such as Python or TypeScript. Experience designing cloud-native solutions on AWS, Azure, or Google Cloud Platform. Expertise in systems architecture, APIs, integration patterns, and modern data pipelines. A track record of translating business objectives into practical technical solutions. Experience leading technical teams and coordinating delivery across multiple workstreams. Knowledge of AI governance, security, risk management, and responsible AI practices. Excellent communication skills with experience working directly with executive stakeholders. A degree in Computer Science, Engineering, Mathematics, or a related discipline, or equivalent commercial experience. Why Join Us?This is an opportunity to work on some of the most commercially impactful AI programmes in the market, partnering directly with senior business leaders on strategic transformation initiatives. You'll be part of a collaborative consultancy environment where technical excellence, commercial thinking, and measurable outcomes are equally valued. Every engagement presents new challenges, industries, and opportunities to shape how organisations adopt and scale AI responsibly. If you're passionate about building production-ready agentic AI systems and want to combine deep technical leadership with meaningful business impact, we'd love to hear from you. Eligo Recruitment is acting as an Employment Business in relation to this vacancy. Eligo is proud to be an equal opportunity employer dedicated to fostering diversity and creating an inclusive and equitable environment for employees and applicants. We actively celebrate and embrace differences, including but not limited to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran status, and disability. We encourage applications from individuals of all backgrounds and experiences and all will be considered for employment without discrimination. At Eligo Recruitment diversity, equity and inclusion is integral to achieving our mission to ensure every workplace reflects the richness of human diversity.
We re Aioi R&D Lab - an AI tech hub in one of the fastest-growing insurance companies. We research and develop AI systems that catapult insurance from a slow-moving, traditional past into a data-driven, technology-lead and society-defining future. We re looking for dynamic, driven professionals like you to help evolve our business in new directions. You ll need first-class credentials and a proactive attitude to help us drive the change the underpins our mission. As a Senior Software Engineer 2 you will be a core contributor to delivering our products and solutions, with the opportunity to lead projects end-to-end. You'll set the bar for engineering excellence, mentor those around you, and step into line management as the team grows. If you d like to be part of our brighter future, and share in our success, we d love to hear from you. Responsibilities Key contributor to the development, testing and maintenance of Lab projects, products and initiatives. Deliver robust, maintainable and operationally viable software and infrastructure, typically using our core stack: React, Typescript, Material UI, Node.js, Python, PostgreSQL, Docker, Kubernetes, Helm, AWS Work with internal colleagues (ML Engineers, ML Scientists, Product Managers etc) and external project partners to understand technical requirements, constraints and delivery priorities. Use code review, pair programming, mentoring and other methods to support other engineers and champion best practices. Troubleshoot technical, data and integration issues arising during development and deployment. Drive the development and improvement of internal tooling, engineering standards, reusable frameworks and deployment practices across the Lab. Communicate technical trade-offs, risks and progress clearly to both technical and non-technical stakeholders. Take on a Technical Lead role when necessary, leading a team of engineers to deliver excellent results within agreed timescales. Take on Line Manager duties when necessary, with regular syncs to provide advice, mentoring, pastoral care and continuous feedback, with an annual performance review cycle. Knowledge, Experience and Qualifications Essential Extensive commercial software experience. Degree in Computer Science, Mathematics, Statistics, Physics, Engineering or another relevant STEM discipline, or equivalent practical experience. Familiarity with our core stack, with strong experience in at least 2 components: Python, Typescript, Relational databases, APIs, Docker, Kubernetes, Kubeflow, AWS. Strong core software engineering and DevOps skills, including CI/CD, Version control, containerisation and cloud deployment. Knowledgeable on engineering best practices and comfortable with producing clean, maintainable, well-tested code. Comfortable with code review and giving clear, actionable, constructive feedback to others. Highly effective when working in a remote-first, iterative agile environment. Experience working across the lifecycle from experimentation and prototyping through to integration and operationalisation. Ability to work effectively in technically complex and ambiguous environments involving multiple stakeholders. Strong communication skills, including the ability to explain technical issues and trade-offs clearly to non-specialists. Desirable Experience architecting and designing complex distributed software systems for cloud environments. Experience developing and deploying machine learning, AI or data-driven systems in production or near-production settings. Technical Lead and/or Line Manager experience. Why Join Us? We're committed to your growth, providing the support to excel in your current role whilst offering opportunities to step into new challenges and drive your career forward. We realise that we need to be a good fit for you above all else so here s what you can enjoy about AND-E: Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards. Unmatched Work-Life Balance. Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise. We champion choice, flexibility, and balance in both work and home life. Our commitment to diversity, equity, and inclusion ensures everyone feels valued and supported including embracing neurodiversity and providing the tools needed to thrive. Our community s unwritten rule is to be as flexible as we can be. We understand life happens, and on We like to think our benefits package is one of the best, focusing on colleagues health, wealth, and lifestyle. We offer: Up to 28 Days annual leave with the option to buy/sell up to 5 days holiday Healix Private Medical Insurance Options 3 x Annual Salary Life Assurance Health and Well-being Support: Including money back on health expenses (optician, dental, physio), free flu jab voucher, 24/7 virtual GP service, employee assistance programme, and enhanced family-friendly policies (e.g. £200 baby bonus). Financial and Lifestyle Benefits: Offers £250 towards driving lessons , interest-free season ticket loan , cycle scheme with discounts, Wagestream for financial flexibility , and pension advisory services for retirement planning. Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics) At AND-E, equal opportunity is more than a policy it s a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic. Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We re committed to making the process accessible and are happy to help.
Aug 07, 2026
Contractor
We re Aioi R&D Lab - an AI tech hub in one of the fastest-growing insurance companies. We research and develop AI systems that catapult insurance from a slow-moving, traditional past into a data-driven, technology-lead and society-defining future. We re looking for dynamic, driven professionals like you to help evolve our business in new directions. You ll need first-class credentials and a proactive attitude to help us drive the change the underpins our mission. As a Senior Software Engineer 2 you will be a core contributor to delivering our products and solutions, with the opportunity to lead projects end-to-end. You'll set the bar for engineering excellence, mentor those around you, and step into line management as the team grows. If you d like to be part of our brighter future, and share in our success, we d love to hear from you. Responsibilities Key contributor to the development, testing and maintenance of Lab projects, products and initiatives. Deliver robust, maintainable and operationally viable software and infrastructure, typically using our core stack: React, Typescript, Material UI, Node.js, Python, PostgreSQL, Docker, Kubernetes, Helm, AWS Work with internal colleagues (ML Engineers, ML Scientists, Product Managers etc) and external project partners to understand technical requirements, constraints and delivery priorities. Use code review, pair programming, mentoring and other methods to support other engineers and champion best practices. Troubleshoot technical, data and integration issues arising during development and deployment. Drive the development and improvement of internal tooling, engineering standards, reusable frameworks and deployment practices across the Lab. Communicate technical trade-offs, risks and progress clearly to both technical and non-technical stakeholders. Take on a Technical Lead role when necessary, leading a team of engineers to deliver excellent results within agreed timescales. Take on Line Manager duties when necessary, with regular syncs to provide advice, mentoring, pastoral care and continuous feedback, with an annual performance review cycle. Knowledge, Experience and Qualifications Essential Extensive commercial software experience. Degree in Computer Science, Mathematics, Statistics, Physics, Engineering or another relevant STEM discipline, or equivalent practical experience. Familiarity with our core stack, with strong experience in at least 2 components: Python, Typescript, Relational databases, APIs, Docker, Kubernetes, Kubeflow, AWS. Strong core software engineering and DevOps skills, including CI/CD, Version control, containerisation and cloud deployment. Knowledgeable on engineering best practices and comfortable with producing clean, maintainable, well-tested code. Comfortable with code review and giving clear, actionable, constructive feedback to others. Highly effective when working in a remote-first, iterative agile environment. Experience working across the lifecycle from experimentation and prototyping through to integration and operationalisation. Ability to work effectively in technically complex and ambiguous environments involving multiple stakeholders. Strong communication skills, including the ability to explain technical issues and trade-offs clearly to non-specialists. Desirable Experience architecting and designing complex distributed software systems for cloud environments. Experience developing and deploying machine learning, AI or data-driven systems in production or near-production settings. Technical Lead and/or Line Manager experience. Why Join Us? We're committed to your growth, providing the support to excel in your current role whilst offering opportunities to step into new challenges and drive your career forward. We realise that we need to be a good fit for you above all else so here s what you can enjoy about AND-E: Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards. Unmatched Work-Life Balance. Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise. We champion choice, flexibility, and balance in both work and home life. Our commitment to diversity, equity, and inclusion ensures everyone feels valued and supported including embracing neurodiversity and providing the tools needed to thrive. Our community s unwritten rule is to be as flexible as we can be. We understand life happens, and on We like to think our benefits package is one of the best, focusing on colleagues health, wealth, and lifestyle. We offer: Up to 28 Days annual leave with the option to buy/sell up to 5 days holiday Healix Private Medical Insurance Options 3 x Annual Salary Life Assurance Health and Well-being Support: Including money back on health expenses (optician, dental, physio), free flu jab voucher, 24/7 virtual GP service, employee assistance programme, and enhanced family-friendly policies (e.g. £200 baby bonus). Financial and Lifestyle Benefits: Offers £250 towards driving lessons , interest-free season ticket loan , cycle scheme with discounts, Wagestream for financial flexibility , and pension advisory services for retirement planning. Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics) At AND-E, equal opportunity is more than a policy it s a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic. Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We re committed to making the process accessible and are happy to help.
Lead Data Scientist Fully Remote £90,000 £100,000 + Benefits Build the models behind real-time decision making at scale. Why this role stands out This isn t just another senior data science position. It s a chance to shape the future of analytics in one of the UK s most successful privately owned technology businesses, a market leader trusted by millions and driven by data at its core. You ll join a high-performing team working with real-time data, advanced machine learning, and large-scale analytical systems, with the freedom to influence both technical direction and best practice across the function. What you ll be doing As Lead Data Scientist, you ll combine deep technical work with strategic leadership: Design and deploy predictive models and ML solutions that power real-time markets. Work hands on with cutting-edge datasets, AI techniques, and scalable data pipelines. Identify patterns and insights that directly influence live business decisions. Collaborate closely with engineers, analysts, and platform teams to optimise performance and reliability. Drive best practice, mentor / coach across the Data Science function. This is a role where your ideas won t sit in a backlog for months They will have a visible impact in real time. About you You re an experienced data scientist who enjoys solving complex problems and helping others grow. We d love to hear from you if you have: Proven experience in a Senior or Lead Data Scientist role (preferably in sports, gaming or similar). A track record of mentoring teams and leading technical projects. A degree (BSc/MSc) in Data Science, Mathematics, Computer Science, or a related field. Strong programming skills in Python or R, with experience using frameworks such as Scikit-learn, PyTorch, or TensorFlow. Experience with cloud platforms or distributed computing (GCP preferred, but AWS or Azure also welcome). Exposure to neural networks (a plus, not a must). A genuine interest in sports and data-driven decision making. What you ll get in return Fully remote working with flexibility built in. £90,000 £100,000 salary plus additional benefits. Access to huge, high-quality datasets and modern ML tooling. The chance to work on intellectually challenging problems every day. Real influence over large-scale analytical systems and strategy. Clear opportunities for career growth within an expanding Data Science function. If you re passionate about analytics, machine learning, and building systems in real time, this could be the opportunity you ve been waiting for. Apply now to find out more.
Aug 07, 2026
Full time
Lead Data Scientist Fully Remote £90,000 £100,000 + Benefits Build the models behind real-time decision making at scale. Why this role stands out This isn t just another senior data science position. It s a chance to shape the future of analytics in one of the UK s most successful privately owned technology businesses, a market leader trusted by millions and driven by data at its core. You ll join a high-performing team working with real-time data, advanced machine learning, and large-scale analytical systems, with the freedom to influence both technical direction and best practice across the function. What you ll be doing As Lead Data Scientist, you ll combine deep technical work with strategic leadership: Design and deploy predictive models and ML solutions that power real-time markets. Work hands on with cutting-edge datasets, AI techniques, and scalable data pipelines. Identify patterns and insights that directly influence live business decisions. Collaborate closely with engineers, analysts, and platform teams to optimise performance and reliability. Drive best practice, mentor / coach across the Data Science function. This is a role where your ideas won t sit in a backlog for months They will have a visible impact in real time. About you You re an experienced data scientist who enjoys solving complex problems and helping others grow. We d love to hear from you if you have: Proven experience in a Senior or Lead Data Scientist role (preferably in sports, gaming or similar). A track record of mentoring teams and leading technical projects. A degree (BSc/MSc) in Data Science, Mathematics, Computer Science, or a related field. Strong programming skills in Python or R, with experience using frameworks such as Scikit-learn, PyTorch, or TensorFlow. Experience with cloud platforms or distributed computing (GCP preferred, but AWS or Azure also welcome). Exposure to neural networks (a plus, not a must). A genuine interest in sports and data-driven decision making. What you ll get in return Fully remote working with flexibility built in. £90,000 £100,000 salary plus additional benefits. Access to huge, high-quality datasets and modern ML tooling. The chance to work on intellectually challenging problems every day. Real influence over large-scale analytical systems and strategy. Clear opportunities for career growth within an expanding Data Science function. If you re passionate about analytics, machine learning, and building systems in real time, this could be the opportunity you ve been waiting for. Apply now to find out more.
Senior Machine Learning Engineer Remote (United Kingdom) | Permanent | Flexible compensation (DOE) + bonus + equity We're working with a well-funded AI-first technology business building systems that go beyond traditional chatbot experiences and execute real-world workflows autonomously. The team is building a proactive AI product designed to help users organise, communicate, and complete complex tasks with minimal prompting. The product focuses on long-running workflows, persistent context, and reliable real-world task execution, even when model behaviour is non-deterministic. This is a hands-on engineering role focused on building and operating production machine learning systems rather than conducting pure research. You'll be responsible for translating research and modelling ideas into reliable systems used by real users. The Opportunity As a Senior Machine Learning Engineer, you'll own critical ML systems from end to end, taking ideas from experimentation through deployment, monitoring, and continuous improvement in production. Areas of responsibility include: Building core ML systems that power AI-native product experiences Owning the full life cycle from data preparation and training through evaluation, inference, and iteration Turning research ideas into production-ready systems Debugging model behaviour using real-world production signals Improving accuracy, reliability, latency, and efficiency over time Working closely with product, research, and engineering teams to deliver user impact Mentoring other engineers through technical judgement and example Operating under real-world constraints including cost, performance, reliability, and safety What They're Looking For The team is interested in engineers who have built and shipped ML systems used by real users. Examples of relevant experience include: Model training and evaluation Production inference systems PyTorch or JAX GPU-based training and inference ML experimentation and iteration Monitoring and debugging production ML systems AI reliability and performance optimisation End-to-end ownership of ML systems in production Applying research concepts to practical product problems The strongest candidates typically demonstrate: Strong Python engineering skills Deep understanding of how ML systems behave in production Independent ownership and execution Excellent problem-solving ability A bias towards shipping, measuring outcomes, and iterating quickly Technical Environment Python PyTorch/JAX GPU-based training and inference systems OpenAI, Anthropic and open-source models SQL/NoSQL Docker Kubernetes AWS, Azure or GCP Compensation Compensation is intentionally flexible and assessed based on experience, ownership, and production impact. The package includes: Competitive base salary Performance-based bonus Equity Fully remote working Private healthcare Dental/Vision/Life insurance Pension contribution Paid holiday
Aug 07, 2026
Full time
Senior Machine Learning Engineer Remote (United Kingdom) | Permanent | Flexible compensation (DOE) + bonus + equity We're working with a well-funded AI-first technology business building systems that go beyond traditional chatbot experiences and execute real-world workflows autonomously. The team is building a proactive AI product designed to help users organise, communicate, and complete complex tasks with minimal prompting. The product focuses on long-running workflows, persistent context, and reliable real-world task execution, even when model behaviour is non-deterministic. This is a hands-on engineering role focused on building and operating production machine learning systems rather than conducting pure research. You'll be responsible for translating research and modelling ideas into reliable systems used by real users. The Opportunity As a Senior Machine Learning Engineer, you'll own critical ML systems from end to end, taking ideas from experimentation through deployment, monitoring, and continuous improvement in production. Areas of responsibility include: Building core ML systems that power AI-native product experiences Owning the full life cycle from data preparation and training through evaluation, inference, and iteration Turning research ideas into production-ready systems Debugging model behaviour using real-world production signals Improving accuracy, reliability, latency, and efficiency over time Working closely with product, research, and engineering teams to deliver user impact Mentoring other engineers through technical judgement and example Operating under real-world constraints including cost, performance, reliability, and safety What They're Looking For The team is interested in engineers who have built and shipped ML systems used by real users. Examples of relevant experience include: Model training and evaluation Production inference systems PyTorch or JAX GPU-based training and inference ML experimentation and iteration Monitoring and debugging production ML systems AI reliability and performance optimisation End-to-end ownership of ML systems in production Applying research concepts to practical product problems The strongest candidates typically demonstrate: Strong Python engineering skills Deep understanding of how ML systems behave in production Independent ownership and execution Excellent problem-solving ability A bias towards shipping, measuring outcomes, and iterating quickly Technical Environment Python PyTorch/JAX GPU-based training and inference systems OpenAI, Anthropic and open-source models SQL/NoSQL Docker Kubernetes AWS, Azure or GCP Compensation Compensation is intentionally flexible and assessed based on experience, ownership, and production impact. The package includes: Competitive base salary Performance-based bonus Equity Fully remote working Private healthcare Dental/Vision/Life insurance Pension contribution Paid holiday
Senior AWS Data Engineer - London - 125,000 Please note - this role will require you to work from the London based office. You must have the unrestricted right to work in the UK to be eligible for this role. This organisation is not able to offer sponsorship. An exciting opportunity to join a greenfield initiative focused on transforming how market data is accessed and utilised. As a Senior AWS Data Engineer, you'll play a key role in designing and building a cutting-edge data platform using technologies like Databricks, Snowflake, and AWS Glue. Key Responsibilities: Build and maintain scalable data pipelines, warehouses, and lakes. Design secure, high-performance data architectures. Develop processing and analysis algorithms for complex data sets. Collaborate with data scientists to deploy machine learning models. Contribute to strategy, planning, and continuous improvement. Required Experience: Hands-on experience with AWS data tools: Glue, PySpark, Athena, Iceberg, Lake Formation. Strong Python and SQL skills for data processing and analysis. Deep understanding of data governance, quality, and security. Knowledge of market data and its business applications. Desirable Experience: Experience with Databricks and Snowflake. Familiarity with machine learning and data science concepts. Strategic thinking and ability to influence cross-functional teams. This role offers the chance to work across multiple business areas, solve complex data challenges, and contribute to long-term strategic goals. You'll be empowered to lead, collaborate, and innovate in a dynamic environment. To apply for this role please submit your CV or contact David Airey on (phone number removed) or at (url removed). Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.
Oct 06, 2025
Full time
Senior AWS Data Engineer - London - 125,000 Please note - this role will require you to work from the London based office. You must have the unrestricted right to work in the UK to be eligible for this role. This organisation is not able to offer sponsorship. An exciting opportunity to join a greenfield initiative focused on transforming how market data is accessed and utilised. As a Senior AWS Data Engineer, you'll play a key role in designing and building a cutting-edge data platform using technologies like Databricks, Snowflake, and AWS Glue. Key Responsibilities: Build and maintain scalable data pipelines, warehouses, and lakes. Design secure, high-performance data architectures. Develop processing and analysis algorithms for complex data sets. Collaborate with data scientists to deploy machine learning models. Contribute to strategy, planning, and continuous improvement. Required Experience: Hands-on experience with AWS data tools: Glue, PySpark, Athena, Iceberg, Lake Formation. Strong Python and SQL skills for data processing and analysis. Deep understanding of data governance, quality, and security. Knowledge of market data and its business applications. Desirable Experience: Experience with Databricks and Snowflake. Familiarity with machine learning and data science concepts. Strategic thinking and ability to influence cross-functional teams. This role offers the chance to work across multiple business areas, solve complex data challenges, and contribute to long-term strategic goals. You'll be empowered to lead, collaborate, and innovate in a dynamic environment. To apply for this role please submit your CV or contact David Airey on (phone number removed) or at (url removed). Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.
AWS Data Engineer - VP Level Location: London (Canary Wharf) Salary: (phone number removed) - (phone number removed) A leading financial institution is seeking a Senior AWS Data Engineer to join a greenfield initiative focused on transforming market data access and utilization. This VP-level role offers strategic influence, technical leadership, and cross-functional collaboration across business units. Key Responsibilities: Design and maintain scalable data pipelines, warehouses, and lakes using AWS technologies. Implement robust data governance, quality, and security practices. Collaborate with data scientists to deploy machine learning models. Lead or contribute to strategic planning, risk management, and stakeholder engagement. Drive innovation through advanced analytics and research-based problem solving. To be successful you should have: 10 years hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Previous experience in implementing best practices for data engineering, including data governance, data quality, and data security. Proficiency in data processing and analysis using Python and SQL. Experience with data governance, data quality, and data security best practices. Strong knowledge of market data and its applications. Some other highly valued skills may include: Experience with other data engineering tools and technologies. Knowledge of machine learning and data science concepts. Familiarity with Barclays' data strategy and practices. Please send me your CV is you meet these requirements and we can then arrange call
Oct 06, 2025
Full time
AWS Data Engineer - VP Level Location: London (Canary Wharf) Salary: (phone number removed) - (phone number removed) A leading financial institution is seeking a Senior AWS Data Engineer to join a greenfield initiative focused on transforming market data access and utilization. This VP-level role offers strategic influence, technical leadership, and cross-functional collaboration across business units. Key Responsibilities: Design and maintain scalable data pipelines, warehouses, and lakes using AWS technologies. Implement robust data governance, quality, and security practices. Collaborate with data scientists to deploy machine learning models. Lead or contribute to strategic planning, risk management, and stakeholder engagement. Drive innovation through advanced analytics and research-based problem solving. To be successful you should have: 10 years hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Previous experience in implementing best practices for data engineering, including data governance, data quality, and data security. Proficiency in data processing and analysis using Python and SQL. Experience with data governance, data quality, and data security best practices. Strong knowledge of market data and its applications. Some other highly valued skills may include: Experience with other data engineering tools and technologies. Knowledge of machine learning and data science concepts. Familiarity with Barclays' data strategy and practices. Please send me your CV is you meet these requirements and we can then arrange call
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Senior Principal will be responsible for leading projects related to data engineering requirements and initiatives across Jazz Research and Development. The Senior Principal will lead data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Lead the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Own data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Expert knowledge of data engineering tools such as Python, R and SQL for data processing. Expert proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Expert proficiency with relational databases. Strong background in data modeling and database design. Strong knowledge with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Experience with Containerization such as Docker and EKS/Kubernetes. Experience with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Experience to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 5-7 years of experience in data engineering, with at least 2 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Oct 04, 2025
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Senior Principal will be responsible for leading projects related to data engineering requirements and initiatives across Jazz Research and Development. The Senior Principal will lead data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Lead the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Own data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Expert knowledge of data engineering tools such as Python, R and SQL for data processing. Expert proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Expert proficiency with relational databases. Strong background in data modeling and database design. Strong knowledge with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Experience with Containerization such as Docker and EKS/Kubernetes. Experience with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Experience to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 5-7 years of experience in data engineering, with at least 2 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Senior Machine Learning Engineer - Behavioural Modeling & Threat Detection - £150,000 - £180,000 - Fully Remote UK BASED CANDIDATES ONLY My client is looking for an experienced Machine Learning Engineer ready to play a pivotal role in shaping the technical direction of their behavioural modelling and threat detection systems. This position offers the opportunity to influence not just their engineering roadmap, but how they fundamentally approach solving complex, real-world security challenges with data. You'll work at the intersection of data science, ML infrastructure, and product innovation, leading efforts to build and evolve ML-driven capabilities, while also ensuring the reliability and scalability of their models in production environments. What You'll Do Spearhead the design and refinement of machine learning models focused on understanding behaviour patterns and identifying cybersecurity anomalies. Partner with product, engineering, and domain experts to translate strategic goals and customer needs into practical, scalable ML solutions. Drive model development end-to-end, from exploratory analysis, feature design, and prototyping to validation and deployment. Collaborate with platform and infra teams to operationalize models and ship ML-powered features into production. Continuously assess and iterate on production models, balancing long-term ML strategy with tactical improvements. Champion code quality, observability, and resilience within their ML systems through reviews and hands-on contributions. Help shape their internal ML standards and practices, ensuring they stay ahead of industry advancements. Offer technical mentorship and be a thought partner to colleagues across data, ML, and engineering disciplines. What We're Looking For Hands-on experience in developing and deploying machine learning models at scale. Deep familiarity with core ML concepts (classification, time-series, statistical modeling) and their real-world tradeoffs. Fluency in Python and commonly used ML libraries (e.g. pandas, scikit-learn; experience with PyTorch or TensorFlow is a plus). Experience with model lifecycle management (MLOps), including monitoring, retraining, and model versioning. Ability to work across data infrastructure, from SQL to large-scale distributed data tools (Spark, etc.). Strong written and verbal communication skills, especially in cross-functional contexts. Bonus Experience (Nice to Have) Exposure to large language models (LLMs) or foundational model adaptation. Previous work in cybersecurity, anomaly detection, or behavioural analytics. Familiarity with orchestration frameworks (Airflow or similar). Experience with scalable ML systems, pipelines, or real-time data processing. Advanced degree or equivalent experience in ML/AI research or applied science. Cloud platform proficiency (AWS, GCP, Azure). If this sounds like something you would be interested in, please apply with your latest CV, a number to reach you on and I will be in touch. Alternatively, you can email me at . RSG Plc is acting as an Employment Agency in relation to this vacancy.
Oct 02, 2025
Full time
Senior Machine Learning Engineer - Behavioural Modeling & Threat Detection - £150,000 - £180,000 - Fully Remote UK BASED CANDIDATES ONLY My client is looking for an experienced Machine Learning Engineer ready to play a pivotal role in shaping the technical direction of their behavioural modelling and threat detection systems. This position offers the opportunity to influence not just their engineering roadmap, but how they fundamentally approach solving complex, real-world security challenges with data. You'll work at the intersection of data science, ML infrastructure, and product innovation, leading efforts to build and evolve ML-driven capabilities, while also ensuring the reliability and scalability of their models in production environments. What You'll Do Spearhead the design and refinement of machine learning models focused on understanding behaviour patterns and identifying cybersecurity anomalies. Partner with product, engineering, and domain experts to translate strategic goals and customer needs into practical, scalable ML solutions. Drive model development end-to-end, from exploratory analysis, feature design, and prototyping to validation and deployment. Collaborate with platform and infra teams to operationalize models and ship ML-powered features into production. Continuously assess and iterate on production models, balancing long-term ML strategy with tactical improvements. Champion code quality, observability, and resilience within their ML systems through reviews and hands-on contributions. Help shape their internal ML standards and practices, ensuring they stay ahead of industry advancements. Offer technical mentorship and be a thought partner to colleagues across data, ML, and engineering disciplines. What We're Looking For Hands-on experience in developing and deploying machine learning models at scale. Deep familiarity with core ML concepts (classification, time-series, statistical modeling) and their real-world tradeoffs. Fluency in Python and commonly used ML libraries (e.g. pandas, scikit-learn; experience with PyTorch or TensorFlow is a plus). Experience with model lifecycle management (MLOps), including monitoring, retraining, and model versioning. Ability to work across data infrastructure, from SQL to large-scale distributed data tools (Spark, etc.). Strong written and verbal communication skills, especially in cross-functional contexts. Bonus Experience (Nice to Have) Exposure to large language models (LLMs) or foundational model adaptation. Previous work in cybersecurity, anomaly detection, or behavioural analytics. Familiarity with orchestration frameworks (Airflow or similar). Experience with scalable ML systems, pipelines, or real-time data processing. Advanced degree or equivalent experience in ML/AI research or applied science. Cloud platform proficiency (AWS, GCP, Azure). If this sounds like something you would be interested in, please apply with your latest CV, a number to reach you on and I will be in touch. Alternatively, you can email me at . RSG Plc is acting as an Employment Agency in relation to this vacancy.
