2,876 to 2,900 of 7,747 Machine Learning Jobs in the UK

need from you:Relevant product management experience, including demonstrated delivery of large-scale, technology-led productsProven experience building, launching, or scaling AI/ML-powered products or digital platforms, ideally in financial services or FinTechStrong commercial acumen — ability to build business cases, contribute to P&L analysis, and drive … suit your personal circumstancesEmployee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

relentlessly resourceful. We challenge the status quo to solve problems and find smarter solutionsBuild the best technology in-house: we use new data sources, machine learning and AI to make machines do the heavy liftingWe're hiring two Senior Quality Engineers to set up a Quality Engineering department ...

business — technical leadership from day one, without a management line. As the team grows around you — a data scientist, a behavioural researcher, an ML engineer — the routes are principal-level ownership of product behavioural data across Diligent, or leading the team that runs it. We'd rather be straight with … questions and experiment fearlessly - those who embrace change not as a challenge, but as an opportunity. The future belongs to those who keep learning, and we are building it together. At Diligent, you’re not just building the future - you’re an agent of positive change, joining a global ...

Wokingham (Hybrid Working) Inside IR35 Job Summary We are looking for a senior-level MLOps engineer who can own the full life cycle of ML models in a regulated, large-scale Azure enterprise environment. More specifically: Core profile: Hands-on MLOps/ML platform engineer with strong Azure experience (Azure … ML, Data Factory, Azure DevOps, Kubernetes). Technical must-haves: Python, Terraform, Docker/Kubernetes, CI/CD for ML, model versioning, monitoring, and production troubleshooting. Domain fit: Someone who has worked in banking, healthcare, or energy and understands regulated/sensitive data, compliance, and large-scale data pipelines. Working ...

Computer Vision/ML Engineer - London | Hybrid Competitive Salary + Equity We're building technology for the next generation of defence and autonomous systems. The problems we're solving sit across computer vision, machine learning, sensors, robotics and algorithms, with everything we build ultimately being used … real world. We're looking for a Computer Vision/ML Engineer to join our growing AI team. This is a hands-on engineering role for someone who enjoys taking difficult, ambiguous problems and turning them into working systems that actually get deployed. A lot of what you'll work ...

LOCATION: Onsite (Bristol) Job Description Looking for an experienced Senior Architect to lead the design, architecture, governance, and delivery of enterprise-scale AI/ML and Generative AI solutions. The role requires deep expertise in LLMs, Agentic AI, NLP, RAG architectures, MLOps, and cloud-native AI platforms on Google Cloud … candidate should possess a blend of technical leadership, solution architecture, stakeholder management, and hands‐on expertise in modern AI ecosystems Mandatory Skills AI/ML Experiment design and A/B testing NLP and text analytics Generative AI Prompt Engineering AI Agents and Multi-Agent Systems Copilot and Conversational ...

models and systems yourself, and is excited to grow into a broader leadership role.Not everything here is about LLMs. You’ll work on rigorous ML, forecasting, optimisation and operations research problems where quantitative thinking, pragmatic delivery and strong product judgement really matter.You’ll lead a growing team of Machine … working alongside data scientists, backend, mobile and web engineers, product managers, user researchers, designers and operations specialists.ðYou’ll play a key role by...Shaping the ML strategy for Workforce Management, helping us decide where ML, forecasting and optimisation can have the biggest impact for customers and human agents.Leading the design, build ...

models and systems yourself, and is excited to grow into a broader leadership role.Not everything here is about LLMs. You’ll work on rigorous ML, forecasting, optimisation and operations research problems where quantitative thinking, pragmatic delivery and strong product judgement really matter.You’ll lead a growing team of Machine … working alongside data scientists, backend, mobile and web engineers, product managers, user researchers, designers and operations specialists.ðYou’ll play a key role by...Shaping the ML strategy for Workforce Management, helping us decide where ML, forecasting and optimisation can have the biggest impact for customers and human agents.Leading the design, build ...

Analytics & AI) Role Overview We are seeking a Data Architect to support the design and delivery of cloud-based data, analytics, and AI/ML data platforms. The role focuses on defining scalable data architectures and guiding engineering teams across GCP, Snowflake, and dbt-based ecosystems in a regulated enterprise … products on GCP (BigQuery/BigLake) and Snowflake . Provide architectural direction for analytics engineering , including dbt-based transformation layers . Enable AI/ML use cases by designing feature datasets, training data pipelines, and model consumption patterns. Ensure solutions meet data governance, security, and access control standards. ...

Analytics & AI) Role Overview We are seeking a Data Architect to support the design and delivery of cloud-based data, analytics, and AI/ML data platforms. The role focuses on defining scalable data architectures and guiding engineering teams across GCP, Snowflake, and dbt-based ecosystems in a regulated enterprise … products on GCP (BigQuery/BigLake) and Snowflake . Provide architectural direction for analytics engineering , including dbt-based transformation layers . Enable AI/ML use cases by designing feature datasets, training data pipelines, and model consumption patterns. Ensure solutions meet data governance, security, and access control standards. ...

mission and what we offer . About the role: We are looking for an IC3 Machine Learning Engineer to join our Risk ML and Intelligence team. In this role, you will be key to enabling the building of our machine learning models by focusing … learn the wrong behavior. You will be responsible for label side quality, label monitoring, statistical integrity, and designing robust audit processes to ensure our ML infrastructure learns from clean, reliable data. How we work: At Wise, we operate with autonomous, cross-functional teams that put the customer first. We believe ...

relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product‐focused team. We work in partnership … with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from ...

systems for text, image, speech, and video applications. Own end‐to‐end delivery, performance, and continuous improvement of LLM Suite products. Working closely with ML Engineering, Product Management, and Cloud Engineering, you will ensure our AI solutions are reliable, secure, and built for real business impact. Bridge advanced AI research … Skills: Hold a PhD or possess equivalent experience in Computer Science, Mathematics, Statistics, or a related quantitative discipline. Demonstrate extensive hands‐on experience in ML engineering, with a proven track record of shipping production AI systems. Bring deep expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with ...

complex physical system. Data Centers are the proof point, not the ceiling. We have sites in London, Canada and the USA, building teams across ML research, Product development, Mechanical engineering, and Chemical engineering. If you want to work where AI meets atoms, we'd like to hear from you. … technology challenges. Key Responsibilities Set the technical bar and ensure engineering excellence Establish and maintain exceptionally high standards for code quality, system architecture and ML research and engineering practices through hands‐on coding and technical review Design robust, well‐engineered systems that others can build upon, balancing research velocity with ...

.Manage product backlogs, release plans, budget allocations, and value-driven investment decisions .Delivery & Cross-Functional Execution Partner closely with Data Engineering, Analytics, AI/ML, and Governance teams to execute and deliver against the product roadmap .Translate business needs into clear user stories, technical specifications, and strict acceptance criteria .Drive … Realization Define and track product performance, user engagement, and hard business impact .Identify high-value opportunities for operational automation, self-service analytics, AI/ML enablement, and potential data monetization .Continuously gather user feedback to optimize feature releases and maximize business ROI .Data Quality, Reliability & Governance Establish, monitor, and enforce ...

right problems to solve, not just execute against a fixed brief.The roleThe Applied Scientist role is new to Prolific. It combines data science, ML, and statistics to build practical systems that drive real business outcomes. This isn't a pure research role, although you may explore papers and explore … ideas. The focus is on turning promising approaches into production-ready solutions. It is also not an ML engineering role: you don't need engineering experience, but you should understand what deploying a model involves and the practical constraints around it. We care about approaches that actually work in production ...

with 5+ years in AI/data consulting. Proven experience in leading large-scale AI/data transformation initiatives. Deep knowledge of AI/ML, big data platforms, and data governance. Strong business acumen and consultative selling skills. Master’s/PhD in a relevant field (MBA preferred); certifications …/ML or cloud are a plus.Why you will love this job: Be at the forefront of GenAI innovation in the Telco space. Influence strategic decisions and shape the future of digital transformation. Work with global teams and top-tier clients on impactful projects.Please ignore any references to salary ...

upcoming products that will delight and encourage millions of Apple’s customers every day! Responsibilities Design and implement state-of-the-art AI/ML that processes news, stocks, and books data to drive recommendations, power advanced search, and enable next-generation AI features. Develop datasets, design model architecture … similar. Experience designing user-facing machine learning features with interdisciplinary partners. Experience with recommender systems. Experience with text-centric AI/ML (LLMs, document classification, search, etc.) Experience delivering high quality software at scale. Ability to communicate effectively and collaborate with partner teams. Commitment to encouraging an open ...

concept through to secure, scalable, production-grade deployments in highly regulated environments. The successful candidate will combine deep technical expertise in AI/ML, LLMs, Generative AI and cloud platforms with strong delivery leadership and stakeholder engagement skills. They will be responsible for designing end-to-end AI architectures, leading … shaping technical roadmaps, and ensuring solutions meet stringent security, governance and operational requirements. Key Experience Required Proven track record delivering enterprise-scale AI/ML solutions into production Strong experience leading technical teams and complex transformation programmes Deep expertise in LLMs, RAG architectures, Prompt Engineering and Generative AI frameworks such ...

concept through to secure, scalable, production-grade deployments in highly regulated environments. The successful candidate will combine deep technical expertise in AI/ML, LLMs, Generative AI and cloud platforms with strong delivery leadership and stakeholder engagement skills. They will be responsible for designing end-to‐end AI architectures, leading … shaping technical roadmaps, and ensuring solutions meet stringent security, governance and operational requirements. Key Experience Required Proven track record delivering enterprise-scale AI/ML solutions into production Strong experience leading technical teams and complex transformation programmes Deep expertise in LLMs, RAG architectures, Prompt Engineering and Generative AI frameworks such ...

PySpark for large-scale data processing CI/CD — experience designing and implementing CI/CD pipelines for infrastructure and data workflows AI/ML frameworks — working knowledge of AI/ML frameworks and their application within architecture design GitHub Copilot — practical experience using GitHub Copilot within development/architecture … tools (QuickSight, Tableau, Power BI) Infrastructure as Code experience (Terraform/CloudFormation) Industry experience relevant to your business Exposure to streaming data (Kinesis) or ML pipelines (SageMaker) experince in financial domain OtherLanguages English: C2 Proficient Seniority Senior London, United Kingdom of Great Britain and Northern Ireland Req. VR-124688 Strategy ...

Backend Software Engineer (IC3) to join our AI & Data Products squad and help build the next generation of product features powered by AI, ML, and intelligent automation. This is a hands-on backend role focused on turning predictive models, LLM capabilities, and business intelligence into real product experiences. You will … into Spendesk's user journeys, helping reduce manual work and make our product more proactive and intelligent. You will collaborate closely with the 3 ML Engineers in the squad, as well as Product Managers, Designers, and applicative squads across Spendesk. Together, you will build production-grade services that expose ML ...

Backend Software Engineer (IC3) to join our AI & Data Products squad and help build the next generation of product features powered by AI, ML, and intelligent automation.This is a hands-on backend role focused on turning predictive models, LLM capabilities, and business intelligence into real product experiences. You will work … making into Spendesk’s user journeys, helping reduce manual work and make our product more proactive and intelligent.You will collaborate closely with the 3 ML Engineers in the squad, as well as Product Managers, Designers, and applicative squads across Spendesk. Together, you will build production-grade services that expose ML ...

concept through to secure, scalable, production-grade deployments in highly regulated environments. The successful candidate will combine deep technical expertise in AI/ML, LLMs, Generative AI and cloud platforms with strong delivery leadership and stakeholder engagement skills. They will be responsible for designing end-to-end AI architectures, leading … shaping technical roadmaps, and ensuring solutions meet stringent security, governance and operational requirements. Key Experience Required Proven track record delivering enterprise-scale AI/ML solutions into production Strong experience leading technical teams and complex transformation programmes Deep expertise in LLMs, RAG architectures, Prompt Engineering and Generative AI frameworks such ...