501 to 525 of 3,213 Machine Learning Jobs in the UK

understanding of prompt engineering, workflow design, and Gen‐AI optimization, balancing latency, cost, quality, and accuracy trade‐offs in production systems. Solid grounding in ML/DL concepts, with hands‐on experience applying frameworks such as PyTorch and/or TensorFlow, including embeddings and model fine‐tuning where appropriate. Experience … suit your personal circumstances. Employee Assistance Program. Pension Plan. Paid Parental Leave. Special discounts for employees, family, and friends. Access to an array of learning and development resources. Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities. Equal Opportunity Employer Citi ...

teams. Bonus points Experience with cloud platforms (AWS, GCP, Azure) Knowledge of CI/CD pipelines and automated testing Previous experience in AI/ML projects or startup environments. What we offer Compensation: £ 50k–75k for Mid Level//£ 75k–100k+ for Senior Level Stock options: Because … creating. Impact & Growth: Early role in a fast-growing startup, with mentorship and opportunities to take on more responsibility as you grow. Learning: Continuous development through mentorship, trainings, and exposure to real-world AI projects. Pension Plan: 5% contribution to Aviva Pension Plan Hybrid & Flexible: Our default setup ...

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity ...

experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The DUE ML Core London team builds and operates scalable machine learning systems, simulation workflows, and insight tools designed to improve the evaluation and developer onboarding journeys. … evaluation data for hundreds of metrics and components that comprise the Waymo Driver. We are looking for researchers and software engineers passionate about developing ML techniques for evaluation systems and driving performance improvements across our technology stack. You will Build scalable systems for training and fine-tuning large-scale generative ...

high-pressure production incidentsDesired* Experience with Site Reliability Engineering (SRE) practices, including monitoring, incident response, and post-mortem analysis* Proven experience applying AI or machine-learning models to optimise workflows, identify patterns, and drive intelligent automation solutions* Hands-on experience with containerization technologies such as Docker and Kubernetes ...

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity ...

both technical and non-technical audiences. You’ll stand out if you bring Championing a data mindset across the org. Applying advanced analytics/machine learning techniques to real-world datasets. IDE automation and AI tooling (Cursor, Claude, Copilot, Vertex, Gemini, etc.), LLM integrations applied to data ...

handle high-pressure production incidentsDesiredExperience with Site Reliability Engineering (SRE) practices, including monitoring, incident response, and post-mortem analysisProven experience applying AI or machine-learning models to optimise workflows, identify patterns, and drive intelligent automation solutionsHands-on experience with containerization technologies such as Docker and Kubernetes, including cluster ...

pressures production incidents Desired Experience with Site Reliability Engineering (SRE) practices, including monitoring, incident response, and post-mortem analysis Proven experience applying AI or machine-learning models to optimise workflows, identify patterns, and drive intelligent automation solutions Hands-on experience with containerization technologies such as Docker and Kubernetes ...

business outcomes. Key responsibilities Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof … transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable ...

business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof … transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable ...

business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof … transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable ...

scientific data and accelerates the discovery of life-changing treatments. You will work at the intersection of computational engineering and biology, partnering with scientists, ML experts, and DevOps engineers to put powerful AI tools directly into the hands of those driving drug discovery. This role is based in Welwyn, with … onsite working three days per week. The Opportunity: You build tools to evaluate AI/ML model performance and establish new ways to understand and measure AI quality. You partner with product managers and scientists to understand user needs, shape requirements, and translate them into actionable technical specifications. You develop ...

science, Artificial Intelligence, Engineering, Mathematics, or a related field. Minimum of 5 years of experience, with a strong focus on hands-on AI/ML engineering and delivery. Proven track record of building, deploying, and maintaining production-grade AI/ML systems in live environments, with measurable business impact. Strong … proficiency in Python and relevant AI/ML libraries. Demonstrated ability to deliver end-to-end Generative AI solutions, including working with LLMs in production; fine-tuning pre-trained models for specific use cases; designing robust prompt engineering strategies; building document processing pipelines; and evaluating outputs using structured metrics ...

clients, hands-on with model integration, multi-agent workflows and data engineering from day one. Looking for a strong Python and SQL foundation, basic ML knowledge, and a CS/AI/Data Science degree with solid academic results. UK (Brighton, Hybrid), Europe (Remote), United Kingdom Contract Location: UK (Brighton … with hands-on model integration, agentic workflows and data engineering from day one. We're looking for a strong Python and SQL foundation, basic ML knowledge, and a CS/AI/Data Science degree with solid academic results. Brighton (Hybrid), Europe (Remote), United Kingdom Full Time Location: Brighton (Hybrid ...

provide technical leadership across the full lifecycle of machine learning systems powering a new matching platform. This role is accountable for defining ML architecture, establishing engineering standards, driving MLOps maturity, and ensuring that our models are scalable, secure, explainable, and governed to enterprise‐grade standards. You will contribute … strategic direction of our ML platform—spanning data pipelines, model development, deployment automation, inference runtime design, telemetry, drift detection, and cross‐account productionisation. You will mentor engineers, influence product and architectural decisions, and ensure that our ML systems operate reliably at scale, underpinned by a robust governance and compliance framework. ...

market operates. This is not a research role — we need someone who ships. What You Will Do Lead the design and delivery of complex ML and GenAI systems — robust, scalable, and built for production. Guide the team across the full AI lifecycle, from experimentation and evaluation through deployment and monitoring … cash flow waterfalls, ABS/CLO structures, and priority of payments. Strong software engineering skills (Python preferred) combined with deep knowledge of AI/ML frameworks, GenAI tooling, and modern data infrastructure. Hands‐on experience building and deploying ML/GenAI systems in production within finance, legal, or other high ...

Responsibilities Develop ML products and AI Lenses that serve millions of Snapchatters on a daily basis, with a primary focus on image and video generation and editing, as well as large language models. Build cutting‐edge augmented reality experiences with diffusion and flow‐matching models. Work on state … Ship a consumer‐facing solution within weeks. Extensively collaborate with Product, Software Engineering, Lens Content and Data Science teams to prototype new ideas, integrate ML models and APIs into production, and refine them through A/B testing and user feedback. Actively monitor the market and research landscape ...

Overview Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those … cutting-edge, machine-learning software A good remuneration and benefits package Applications If you would like to apply for this unique ML Engineer opportunity, we would love to hear from you. Please send an up-to-date CV via the relevant link. We’re committed to creating ...

enterprise customers navigating complex analytics modernisation challenges, whether migrating from legacy on‐premises data warehouses, building unified data platforms, implementing streaming analytics, or operationalising ML‐ready data foundations. You’ll translate ambiguous business requirements into scalable, cost‐effective analytics architectures that accelerate time‐to‐insight. You will join a team … provide customer feedback to analytics product teams, participate in private betas, and shape future service capabilities. Collaborate across specialist teams — work with AI/ML, Security, and Migration specialists to connect analytics foundations to downstream ML and GenAI workloads. About the team We’re the AWS Analytics Specialist Solutions Architecture ...

Production Solution Delivery: Lead impactful customer technical projects by delivering production‐grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment … with distributed computing with Apache SparkTM and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/ ...

Scientist to design, develop and deploy data science and AI solutions that deliver real commercial value and improve customer well‐being. You will own ML/AI models, monitor performance, data drift and latency, and ensure compliance with data privacy and AXA's Responsible AI principles. The role requires ...

Production Solution Delivery: Lead impactful customer technical projects by delivering production‐grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment … with distributed computing with Apache SparkTM and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/ ...

Document complex technical architectures clearly and articulate system requirements, post‐mortems, and engineering strategies effectively to both technical and non‐technical stakeholders. AI/ML Platform Automation : Architect and maintain highly available MLOps platforms across AWS and Azure environments. Developer Enablement : Build self‐service infrastructure tools, deployment templates, and continuous … this is the place for you. Qualifications Platform Experience : Demonstrable DevOps experience, with a proven focus on building software engineering platforms or AI/ML infrastructure. IaC Mastery : The successful candidate must demonstrate advanced proficiency in Infrastructure as Code (IaC), with a track record of building and maintaining complex cloud ...

expand AI professional services offerings, contributing to go-to-market strategies and pre-sales activities including proposals and solution positioning Collaborate with Data Scientists, ML Engineers, and cross-functional teams to deliver end-to-end AI solutions that combine technical excellence with business impact Drive innovation by contributing … internal capability development REQUIREMENTS Proven track record of building and delivering large-scale AI systems from concept to production, with expertise in Generative AI, ML frameworks, and MLOps Strong consulting and advisory skills, with the ability to navigate ambiguity and maintain focus on client success in fast-paced environments Demonstrated ...