1,751 to 1,775 of 2,186 Machine Learning Jobs in the UK excluding London

Copilot) to accelerate delivery and improve developer productivityPartner with business and technology teams to rapidly prototype and deploy analytics and tooling, leveraging AI/ML and innovative approachesImplement and manage platform controls, including access, security, and compliance, ensuring all data and AI solutions meet firmwide SDLC standardsProvide transparency and drive … experience with data lineage tools and techniques, including graph & vector databases and metadata management platformsHands-on experience with LLM Ops, MLOps, and AI/ML platform deployment at scaleFamiliarity with business-led analytics delivery models and rapid prototyping frameworksExperience with AI/ML governance, prompt engineering, and integrating AI tools ...

Abilities: Deep understanding of the distinction between Generative AI and Agentic AI, including their foundations, capabilities, and appropriate use cases. Strong understanding of AI, ML and LLM concepts, including prompt engineering, prompt grounding, iterative loop techniques, context windows, embeddings, RAG, agentic workflows. Proven ability to integrate AI capabilities both into … Degree in Computer Science, IT, Engineering, or a related discipline (or equivalent practical experience). Professional certifications in AI Fluency or specialised AI/ML technologies are advantageous, although strong self‐directed learning and practical AI experience are equally valued. #J-18808-Ljbffr ...

accelerate delivery and improve developer productivity Partner with business and technology teams to rapidly prototype and deploy analytics and tooling, leveraging AI/ML and innovative approaches Implement and manage platform controls, including access, security, and compliance, ensuring all data and AI solutions meet firmwide SDLC standards Provide transparency … with data lineage tools and techniques, including graph & vector databases and metadata management platforms Hands-on experience with LLM Ops, MLOps, and AI/ML platform deployment at scale Familiarity with business-led analytics delivery models and rapid prototyping frameworks Experience with AI/ML governance, prompt engineering, and integrating ...

firm’s business objectives. You will work on challenging Cloud-native data, backend engineering and AIML engineering, helping us industrialize AI/ML models at Production scale. This role is a technical hands-on Engineering role. Experience with data science/ML modeling is advantageous but not essential to this … with data, AWS and AIML engineering in commercial settings, preferably in financial sector Experience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOps Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases Prior experience collaborating with data ...

United States Digital Space LLC is seeking a researcher in Cambridge to advance imaging pipelines for mobile devices using machine learning, computer vision, and image processing. You will … develop algorithms that integrate with our camera systems and help deliver high-quality imaging experiences. You will stay current with state-of-the-art ML/vision research, publish results where appropriate, and collaborate with cross-functional teams to productize innovations for our cameras and photo editing #J-18808-Ljbffr ...

database designREST APIs and microservicesJavaScript, TypeScript, HTML5 and CSS3Experience working within Agile/Scrum teams Desirable Skills AzureBlazorEntity Framework/EF CoreAI or Machine Learning integrationsDocker and containerisationCI/CD pipelines and DevOpsGit version control Benefits Fully remote working40,000 - 50,000 salary (DOE)25 days holiday + … bank holidaysCompany pensionOngoing learning and professional developmentOpportunity to influence technical decisions and architectureSupportive, collaborative engineering cultureIf you're looking for a role where you can work with modern Microsoft technologies, contribute to meaningful projects and have genuine influence over technical direction, I'd love to hear from you. Oscar ...

forecasting and predictive solutions. The team owns the production services behind forecasting, scoring, and data processing, along with the pipelines and infrastructure that bring ML and AI capabilities to enterprise customers. As a backend engineer, you will build and maintain core services across this stack, writing clean, well-tested Python … attention to performance, reliability, and code quality. Write clean, well-tested, maintainable Python and follow established engineering best practices. Work with data scientists and ML engineers to integrate models into production services and support the pipelines around them. Participate in code reviews and design discussions, and incorporate feedback to grow ...

join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future … execution of onboarding new regulatory requirements, ensuring the platform is adaptable to evolving global compliance standards. AI & Automation Integration:Apply knowledge of AI/ML concepts to explore and implement intelligent automation, anomaly detection, or data classification solutions within the regulatory reporting pipelines. Hands-On Development: Write clean, robust ...

compellingly to non-technical audiences, while educating and inspiring stakeholders on the transformative potential of AI and data science. Take full ownership of existing ML/AI models, ensuring robust and ongoing monitoring of performance, data drift, scoring latency, and continuous optimisation. Ensure full compliance with regulatory frameworks and data … maths, statistics, or computer science, with the ability to explain how technical work impacts the business. Demonstrable experience with supervised, unsupervised, and deep learning methods, applying these to solve real business problems, especially in financial services or regulated industries. Hands-on experience managing end-to-end AI projects, from ...

compellingly to non-technical audiences, while educating and inspiring stakeholders on the transformative potential of AI and data science. Take full ownership of existing ML/AI models, ensuring robust and ongoing monitoring of performance, data drift, scoring latency, and continuous optimisation. Ensure full compliance with regulatory frameworks and data … maths, statistics, or computer science, with the ability to explain how technical work impacts the business. Demonstrable experience with supervised, unsupervised, and deep learning methods, applying these to solve real business problems, especially in financial services or regulated industries. Hands-on experience managing end-to-end AI projects, from ...

standards. Work effectively with engineers, product managers, operations, security, and customer-facing teams. Communicate progress, risks, and technical questions clearly and promptly. Pursue ongoing learning in cloud, data, IoT, and AI technologies. Preferred Qualifications Experience with OCI, AWS, Azure, Google Cloud, or another cloud platform. Experience with Kubernetes, Docker … following areas: Data engineering or data platforms, including ingestion, processing, storage, or pipelines IoT, device connectivity, telemetry, or edge-to-cloud systems AI/ML platforms, model training, model serving, RAG, evaluation harnesses, AI agents, or MCP Familiarity with REST APIs, source control, code review, automated testing, CI/ ...

Data & AI Architecture Fluency: Deep understanding of modern data stacks (Data Lakehouses, Data Mesh, Real-time Streaming, ETL/ELT pipelines) and AI/ML lifecycle management (MLOps, GenAI integration, Model Governance). Ability to challenge architectural patterns and supervise technical teams without acting as the hands-on architect. Cloud … Technical Oversight End-to-End Data Programme Delivery: Drive the full lifecycle of complex data initiatives (Data Lakehouses, Data Mesh, Real-time Streaming, and ML/GenAI pipelines) from inception to production, ensuring alignment with GlobalLogic’s Delivery Framework and client governance. Architecture & Technical Alignment: Bridge the gap between ...

/ML Engineer Location: Hampshire/Hybrid - 2 days per week onsite Salary: £60,000 per annum + benefits Are you an experienced AI/ML Engineer who enjoys tackling complex technical problems and turning research into practical solutions? We're looking for a hands-on AI/ML professional … Computer Vision and Reinforcement Learning , depending on your experience. What you'll be doing Researching and evaluating state-of-the-art AI/ML techniques. Adapting academic research and existing algorithms to solve real-world problems. Designing, developing and testing AI/ML solutions. Building hands-on AI/ ...

Firmwide Chief Analytics Office, Model Risk Governance & Review, Legal, Compliance & Controls to establish and enforce policies and standards that promote responsible AI/ML and Generative AI model development and usage. They engage business and technology stakeholders across the Commercial & Investment Bank's lines of business to ensure processes, tools … controls are in place to support and incorporate AI/ML implementation best practices. As an Sr Associate on the AI/ML Governanceteam within the Commercial & Investment Bank (CIB), you will have the opportunity tocontribute to multiple strategic, global initiatives. This role allows you to be at the forefront ...

based security automation, including prompt engineering, RAG pipelines, and fine-tuning of models. Collaborate with Data Engineers to build scalable, secure, and production-ready ML pipelines on GCP. Partner with cyber defence, risk, and compliance teams to ensure models are explainable, ethical, and aligned with regulatory standards (e.g. SOC2, SWIFT … functions What You’ll Need... Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics. Data Engineering - Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (preferably GCP). Deep Learning Theory & Applications - Strong grasp of anomaly detection, time-series modelling, and deep ...

based security automation, including prompt engineering, RAG pipelines, and fine-tuning of models. Collaborate with Data Engineers to build scalable, secure, and production-ready ML pipelines on GCP. Partner with cyber defence, risk, and compliance teams to ensure models are explainable, ethical, and aligned with regulatory standards (e.g. SOC2, SWIFT … functions What You’ll Need... Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics. Data Engineering - Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (preferably GCP). Deep Learning Theory & Applications - Strong grasp of anomaly detection, time-series modelling, and deep ...

Rentokil Initial is seeking a pragmatic, highly technical AI Engineering Lead to head the Agentic Factory within the Group AI Team. You will bridge business needs and technical execution, delivering production‐grade multi‐agent AI ...

hackajob is partnering directly with BAE Systems Digital Intelligence to hire for this role. Location(s):UK, Europe & Africa : UK : Great Baddow BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence ...

Arm is seeking System Test Engineers to advance neural network hardware verification and validation. You will contribute to verification strategy and own complex work packages across global design centers, delivering high-quality IP through advanced ...

Capital One Europe is seeking a Data Scientist - Model Developer/Statistician in Nottingham. The role focuses on developing and maintaining underwriting models, with a strong emphasis on statistics, feature generation, and model risk management. ...

Actian is seeking an AI Enablement Lead to architect and own our AI enablement strategy end-to-end. You will build foundational AI platforms, tooling, and governance to empower product and engineering teams to deploy ...

EWOR GmbH is seeking exceptional operators and builders to join a new department and steer 0-to-1 initiatives in cutting-edge domains such as B2B. You will translate high-level strategy into concrete roadmaps ...

genuinely curious about both. Full-stack is the destination, not the entry requirement - we back that with a dedicated L&D budget, protected learning time, and the Community of Technical Practice to help you grow into the parts you haven't done before. If you're an analyst … wider Data & Analytics function through our Community of Technical Practice, where you'll level up, share what's working, and pull in deeper ML, engineering or commercial depth when your squad's problem demands it. What you will be doingBe the data voice in your squad. Bring data into planning ...

support projects.· Provide strategic guidance and technical Payroll expertise to clients and teams.· Contribute to design of tools, enabled by AI/RPA and Machine Learning to support projects.· Manage, coach, and develop junior members of the team, supporting their personal development and driving team growth.· Stay updated … pitches, and hosting clients at events.· Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), and offering development.· Learning & development – Training to support your career development and the skills demand within the company, certifications etc.## **YOUR PROFILE**·Leading HR and Payroll projects, enabled ...

client pitch contribution, client hosting at events.* **Internal Contribution** – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development.* **Learning & Development** – Training to support your career development and the skills demand within the company, certifications etc.## **Your Profile**Our applicants will have some … process landscapes.* Competence in conducting root cause analysis and proposing specific interventions for operational inefficiencies.* Familiarity with advanced analytics techniques (e.g., predictive modelling, machine learning) to drive innovative process improvements.* Proven ability to work on multi-disciplinary projects, collaborating with IT, operations, and business leaders.* A track record ...