76 to 100 of 2,078 Machine Learning Jobs in the UK

impact of products, features and commercial initiatives through world-class experimentation, causal inference and applied data science. Working at the intersection of data science, machine learning, product and commercial strategy, you will develop innovative measurement methodologies, define best practices, and provide technical leadership that enables teams across PlayStation …/B testing. You will solve complex measurement problems where controlled experiments are difficult or impossible, applying modern causal inference, statistical modelling and machine learning techniques to generate robust business insights. You will collaborate closely with product, engineering, analytics and business teams to raise the standard of experimentation ...

analyse data, work with documents and automate research. You'll join the UK core team of around thirty people, working in Python on production ML and LLM systems that sit behind data-dense enterprise products. THE ROLE You'll report to the Head of Engineering and own the machine … partial progress to users. Fine-tune, prompt-engineer and benchmark models, and make considered decisions between hosted foundation models, open-weight models and classical ML on cost, latency and quality. Build and operate ML services and APIs with authentication, role-based access and tenant isolation, so client data is never ...

working with a small team who deliver AI capabilities for the UK government. You'll be curious about all flavours of AI from classical ML to the latest generative and adversarial techniques and keen to keep learning as the field moves. You'll bring a general understanding of software … engineering alongside your ML knowledge and enjoy research, experimenting with new approaches and figuring out how they translate into practical capability for our customers. You'll work closely with a small, high-performing team of engineers and researchers, contributing ideas and picking up new skills as you go. Our work ...

Learning team and take ownership of driving the adoption and implementation of AI across the business. This will include integrating AI/ML capabilities into their core SaaS products, which are used by a range of wealth management firms, banks and FinTech organisations globally. More about the company … 2017. London based - twice a week in the office. Work with some of the largest FinTech & Payments companies globally. Investing heavily in AI/ML to simplify processes and enhance their products. Award-winning business and part of a wider financial services group. The Role - Head of Machine Learning ...

edge AI technologies at enterprise scale Key Responsibilities Develop and deploy machine learning models to solve business challenges. Build and maintain scalable ML workflows and pipelines. Collaborate with Data Scientists and wider technology teams to productionise models. Develop high quality Python code and support CI/CD processes. … deploying machine learning solutions into production environments. Understanding of data processing, transformation and pipeline development. Experience building and maintaining end to end ML workflows. Solid software engineering and coding best practices. Exposure to modern AI and deep learning approaches including NLP and large language model related technologies. ...

edge AI technologies at enterprise scale Key Responsibilities Develop and deploy machine learning models to solve business challenges. Build and maintain scalable ML workflows and pipelines. Collaborate with Data Scientists and wider technology teams to productionise models. Develop high quality Python code and support CI/CD processes. … deploying machine learning solutions into production environments. Understanding of data processing, transformation and pipeline development. Experience building and maintaining end to end ML workflows. Solid software engineering and coding best practices. Exposure to modern AI and deep learning approaches including NLP and large language model related technologies. ...

type: Full-TimeWork site: 3 days/week in-officeRole type: Individual ContributorTravel: Less than 25%Profession: Research, Applied, & Data SciencesDiscipline: Research SciencesCompany: MicrosoftOverviewThe Machine Intelligence team at Microsoft Research Cambridge conducts foundational machine learning research across learning algorithms, model architectures, intelligent systems, and efficient AI.We … systems. Our research investigates how AI systems can reason, remember, exercise control, and interact effectively with computational tools, with related opportunities in multi-agent learning and architectures. A central goal is to develop new foundations for AI agents that can operate reliably over long horizons while remaining understandable ...

models in real-time production environments. You'll work on customer-facing recommendation systems, helping deliver personalised experiences at scale while contributing to modern ML and LLM-powered workflows. What You'll Be Doing Deploying machine learning models into production environments Building and maintaining real-time ML systems … data scientists What We're Looking For Strong experience as an MLOps Engineer or Machine Learning Engineer Proven track record deploying ML models into production Experience with real-time/online ML systems Strong software engineering and Python skills Experience operating and scaling ML infrastructure Excellent communication ...

About The RoleImagine building the bleeding edge, data-driven Artificial Intelligence and Machine Learning systems that will revolutionise your company's success using the latest in Open Source tooling. That's what … global FinTech powerhouse is throwing huge funding behind in a multi-year initiative, by building a brand new team to launch AI/ML tools and systems across the firm on a global scale. You will be researching and building these systems to serve 1000s of users globally. This ...

Intelligence Engineering group are currently looking for a new Machine Learning Engineer to help with the development of a number of different ML/AI projects for the Medical Devices and Scientific sectors. We are looking for someone with a few years experience working in Machine Learning … fields. You will hold a degree from a leading university in Computer Science, Machine Learning, Artificial Intelligence or another subject that covered ML or AI projects. You'll mainly be programming in Python, C++ and R, so past experience of this would be useful. It would be highly ...

modelling lifecycle—from problem formulation and feature strategy through experimentation, validation, deployment, and iteration. Tackle complex, ambiguous problems and translate them into scalable ML solutions. Design robust experimentation frameworks and evaluation methodologies that measure real-world model performance. Diagnose model failure modes, evaluate performance trade-offs, and continuously improve models … modelling quality and performance. Partner with product managers, engineers, and domain experts to embed AI capabilities into our SaaS platform. Provide technical leadership across ML initiatives, mentoring other engineers and helping shape modelling approaches, experimentation standards, and technical direction. QualificationsMust-Have Qualifications Proven experience developing and deploying ML models ...

They are now looking for a Machine Learning Research Lead to guide strategy, research direction and hands-on development across multiple audio ML domains. You will lead a small, high-performing team of researchers and engineers, shaping the roadmap for new audio technologies used by thousands of people … 3+ years of experience leading machine learning research or engineering teams Strong Python skills and deep expertise with at least one modern ML framework such as PyTorch Proven experience applying and optimising AI/ML algorithms in a production-oriented environment Preferred: Knowledge of real-time audio signal ...

Bioinformatician Are you a talented Bioinformatics Scientist with a passion for data science, machine learning, and genomics? We are seeking an ambitious and highly motivated individual to join an innovative research and technology team developing cutting-edge solutions in the field of functional genomics. This is an exciting … Responsibilities Lead statistical and bioinformatics analysis projects, delivering meaningful insights from complex biological datasets. Develop and enhance statistical methodologies and computational algorithms. Apply machine learning and artificial intelligence techniques to research and product development initiatives. Collaborate closely with laboratory scientists to support experimental design, data analysis, and interpretation. ...

data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Title: AI/ML Researcher Location: Great Baddow (Hybrid 2/3 days onsite) Who we are Join BAE Systems and you’ll be part of something bigger. … applications of LLMs, Agentic AI, Robotics, Autonomy, computer vision, AI for RF and EW, sonar and acoustics. We are looking for an AI/ML researcher to join the Knowledge and Semantics team within our Data and Decision Support Capability You will have the opportunity to work with colleagues across ...

intelligence your team builds has a real effect on the business. Some of the great things you'll be doing: Leading Delivery of ML and AI SystemsLead and develop a team of ML engineers, creating the conditions for them to deliver robust, scalable systems into production - spanning real-time inference … ambition and delivery reinforce each other Contribute to standards and practices across the wider Data & AI Solutions chapter Technical Leadership Set the standard for ML and AI engineering quality, reproducibility, and production-readiness across your team - covering model pipelines, deployment tooling, system design, and lifecycle automation Take ownership ...

Azure AI, Azure OpenAI, Snowflake, Dataiku or equivalent. Practical knowledge of Generative AI, Large Language Models, Retrieval Augmented Generation, Agentic AI, multi-agent systems, machine learning or predictive analytics. Experience with AI and data solution lifecycle controls, including data quality, data lineage, model testing, prompt testing, access controls … risk management or responsible AI frameworks. Required Technical CompetenciesStrong understanding of technology architecture, data management and modern software development practices. Working knowledge of AI, machine learning, Generative AI, Large Language Models (LLMs) and Agentic AI.Strong data analytics capability, including experience with platforms such as Python, SQL, Power ...

audio and Outdoor. This is a hybrid role based at our Holborn office in central London. Key ResponsibilitiesModel Development & Optimisation: Design, build and optimise ML and deep-learning models—including for ad targeting and attribution—with a focus on scalability, performance and accuracy, and prototype and evaluate new approaches. … ML Pipelines & Real-Time Inference: Build and maintain robust end-to-end ML pipelines covering training, validation, deployment and monitoring, and develop real-time inference systems with low latency and high throughput. Monitoring & Reliability: Implement model monitoring, drift detection, alerting and retraining, and optimise models for reliability and cost efficiency ...

engineering, entertainment, and live global events. With millions of fans worldwide and a relentless focus on innovation, this organisation is investing heavily in AI, machine learning, and advanced data capabilities to drive performance both on and off the field of play. This is a rare opportunity to join … complex, real-world challenges involving real-time data, computer vision, predictive analytics, intelligent automation, and large-scale data platforms. The OpportunityAs an AI/ML/Data Science Engineer, you will play a key role in designing, developing, and deploying production-grade AI and machine learning solutions. Working ...

analytics to enable transformation across R&D, clinical, and commercial functions. Acting as a trusted advisor, you will design and deliver scalable solutions using machine learning, Generative AI and large language models to address key challenges in drug discovery, clinical development, pharmacovigilance and patient engagement. You will combine … clinical trial optimization and pharmacovigilanceAdvise executive stakeholders on AI strategy and translate technical concepts into actionable business outcomesDefine and deliver enterprise-wide AI and machine learning adoption roadmaps aligned to business objectivesCreate governance frameworks to ensure AI solutions meet regulatory and ethical requirements (e.g., GDPR, FDA, EMA)Prototype ...

within our Search Marketing & Tech organization at Expedia Group. This role is for someone who has demonstrated a track record of delivering high-impact ML projects from concept through production, partnering closely with engineering teams on multi-quarter initiatives that drive measurable business outcomes. Our team builds and optimizes … ML models that power metasearch bidding and auction strategies across key partners (Google Hotel Ads, Trivago, Tripadvisor). As a senior technical leader, you will own end-to-end ML solutions for a domain area, define the technical roadmap, and drive the execution of complex projects that improve customer experiences ...

Lead Data Engineer - AWS - AI & Machine Learning - Fully Remote (UK) - Up to £110,000 Are you a Senior Data Engineer ready to take ownership of an entire data platform rather than simply contributing to one? We're partnering with a rapidly growing technology business that develops innovative data … Lead Data Engineer to take ownership of their cloud-based data platform and help shape the future direction of the company's analytics, machine learning and AI capabilities. This is a unique opportunity to join at a pivotal stage of growth. Initially, you'll operate as a highly ...

Outdoor. This is a hybrid role based at our Holborn office in central London. Key Responsibilities Model Development & Optimisation: Design, build and optimise ML and deep-learning models-including for ad targeting and attribution-with a focus on scalability, performance and accuracy, and prototype and evaluate new approaches. ML … Pipelines & Real-Time Inference: Build and maintain robust end-to-end ML pipelines covering training, validation, deployment and monitoring, and develop real-time inference systems with low latency and high throughput. Monitoring & Reliability: Implement model monitoring, drift detection, alerting and retraining, and optimise models for reliability and cost efficiency ...

looking for a Senior Data Engineer to play a pivotal role in delivering our data strategy. Working closely with Data Analytics, Data Science, Machine Learning Engineering and Technology teams, you'll help design and build scalable data products that solve real business challenges across … technical lifecycle of data products, from initial concept and design through to delivery, incident management and BAU support. Working with Data Scientists and Machine Learning Engineers to deploy machine learning and AI use cases into production. Building automation across CI/CD pipelines, testing, infrastructure management ...

harden" the software to achieve higher TRLs suitable for deployment in the National Security Domain. System Integration: Design and manage the integration of ML models into broader software architectures, ensuring stability and performance. Edge Optimization & Deployment: Adapt and optimize machine learning models for resource-constrained environments, ensuring high … ensure our solutions are maintainable and scalable. Skills & Experience Technical Expertise: Broad technical expertise in machine learning, demonstrating a deep understanding of ML algorithms, frameworks, and software engineering best practices. Model Maturation: Proven experience in taking research-grade AI/ML code and maturing it into production-ready ...

hiring a Senior Machine Learning Engineer to contribute to cutting-edge Research & Development. As innovators in speech technology, our mission is to Understand Every Voice - a vision that has propelled us to be world leaders of Voice AI. Fuelled by innovation, inclusivity, and a passion for making … supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving. What you'll be doing: Work on complex R&D projects, with ...