401 to 425 of 3,223 Machine Learning Jobs in the UK

Senior Computer Vision Engineer - Deep Learning Salary: £70,000 to £95,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available Employment: Permanent, full-time. Contract opportunities may also be considered. MFK Recruitment is recruiting a Senior Computer Vision Engineer … innovative UK technology company working at the forefront of computer vision, perception and autonomy. The company develops advanced Artificial Intelligence and Machine Learning technology for defence, security and other demanding real-world environments. Its work combines machine vision, deep learning and neuroscience-inspired approaches to create ...

Ready to take your career global? Make your mark at one of the biggest names in payments. We are seeking an experienced Senior ML Software Engineer to join our Data Science Enablement team. You will be the primary software engineering expert for a product area, working as part … high‐profile products in production. Your focus will be on driving new feature delivery, maintaining operational excellence, and collaborating on enhancements to our shared ML platform. You will work closely with cross‐functional collaborators—including ML research engineers, product managers, and platform engineers—to deliver scalable, reliable, and low‐latency ...

enjoy turning ambiguity into reliable production systems, you’ll thrive here. Join a team that values craft, security, and learning. As an Applied AI ML Lead in LLM Suite Engineering, you will design and deliver production‐grade AI/ML and agentic solutions that integrate seamlessly with existing systems. … algorithms that integrate with existing systems Create architecture and design artifacts for complex applications, ensuring design constraints are met through delivery Build AI/ML solutions and agentic systems for the LLM Suite platform using public cloud architecture (Azure, AWS) and modern agentic frameworks Implement GenAI services leveraging Azure OpenAI ...

Senior ML Ops Engineer Department: Platform Delivery Employment Type: Permanent - Full Time Location: London Description In this role you will work in the Platform team – a function for the deployment and evolution of the backend platform that underpins the core of the Xantura business. Key Responsibilities Continuously evolve the platform … services (predictive modelling, NLP, knowledge representation, and agentic AI), ensuring reliable, scalable operation across a growing base of local authority clients. Deploy and manage ML models via Azure ML endpoints, batch endpoints, and AKS, enabling resilient, secure model hosting that accelerates client onboarding and ensures models remain performant and monitorable ...

shaping the future of fintech – and we’re just getting started. There are a myriad of opportunities to use AI/ML as part of business processes in checkout, and we’re looking for an expert to help us make these a reality. Unlike many such roles, this … opportunity to truly drive innovation at scale that matters. We’re looking for a Staff Level AL/ML engineer to accelerate our adoption into the AI era; helping us set our AI vision and show us what is possible. As part of the Data and AI platform team ...

safety metrics) and online monitoring (user feedback, drift detection) Technical Skills & Experience 6-8+ years of hands-on experience building production AI/ML systems, with 3-4+ years deploying LLM applications to production Multimodal AI expertise practical experience building voice agents, vision systems, or conversational AI serving … MLOps & deployment hands-on with Docker, Kubernetes, CI/CD pipelines, and infrastructure-as-code Cloud platforms experience with AWS, Azure, or GCP for ML workloads and infrastructure management Exceptional communication ability to explain complex AI concepts clearly to both technical and business stakeholders Customer-facing experience in Solutions Architecture ...

deliver enterprise-grade machine learning systems Collaborate with cloud and SRE teams to build robust production architectures Translate scientific research into scalable ML solutions Develop and deploy business-critical, data-intensive applications Implement distributed, multi-threaded, and scalable applications Build, test, and deploy automated pipelines for ML solutions … services for re-use across teams Apply best practices in software engineering and computer science Utilize MLOps tools for versioning, reproducibility, and observability Align ML problem definitions with business objectives Mentor and support team members, with optional management responsibilities Required Qualifications, Capabilities, and Skills: Experience in machine learning ...

Scientist - Generative AI to join its growing AI & Data team. Working within a highly collaborative environment, you'll design, build and deploy enterprise-scale Machine Learning and Generative AI solutions, helping shape the organisation's AI strategy while delivering innovative solutions into production. Responsibilities Design and develop Machine … solutions. Build Agentic AI and LLM-powered applications. Develop RAG, semantic search and intelligent automation solutions. Build predictive and optimisation models using modern ML techniques. Collaborate with engineering and business teams to deliver scalable AI solutions. Apply MLOps best practices including CI/CD, deployment and monitoring. Mentor junior team ...

experienced engineer looking to specialise further or you're ready to take on greater technical ownership and leadership, there are excellent opportunities for progression, learning and career development. … Role: You'll play a key role in designing, developing and deploying AI and Machine Learning solutions, working across the full ML lifecycle from data preparation and feature engineering through to model deployment and optimisation. Working with Python, SQL and leading ML frameworks, you'll build scalable pipelines ...

MLOps Engineering Manager, you will help shape how we build, deploy and operate machine learning products at scale, working closely with ML Engineers, Data Engineers, Software Engineers, Data Scientists, Product Managers and stakeholders across Trainline. Responsibilities Build and lead a new team of MLOps Engineers, creating an environment … product and data teams to bring strong engineering standards into machine learning delivery, while recognising the specific challenges of data, AI and ML systems. Support the productionisation of batch and online machine learning models, including recommendation systems, classification and regression models, large language models and agent ...

level SQL expertise. You'll be building and optimising complex SQL transformations at scale, ensuring data is accurate, performant, and trusted across analytics and ML use cases. The environment is modern and cloud-first, with exposure to Spark, Snowflake, and BigQuery across AWS, GCP, and Azure. You'll also collaborate … optimise advanced **SQL transformations at scale** * Work with complex, imperfect, high-volume datasets * Improve data quality, reliability, and performance * Collaborate with product, analytics, and ML teams * Contribute to engineering best practices What We're Looking For * Strong **Python and advanced SQL** in production environments * Experience delivering end-to-end data ...

might look like: Taking ownership of ambiguous or novel technical challenges and setting a clear delivery approach for the team Delivering high‐quality traditional ML, data science and Gen AI solutions that align with client needs Communicating confidently with senior stakeholders about technical decisions, trade‐offs, risks and results Becoming … client leadership, team management, rigour and communication strength. You might be a great fit if you have: 5+ years of relevant experience delivering AI, ML or data science solutions end‐to‐end, ideally in a consulting environment Strong expertise in traditional machine learning and data science, including forecasting ...

across large codebases, contributing to CI/CD infrastructure, and shaping technical direction through thoughtful design and mentoring in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware. The Team The ML QA team is composed of highly skilled software engineers with a strong focus on automation … wider software organization. Operating in a fast-paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high-quality products to customers. Responsibilities and Duties Design, implement, and maintain robust test infrastructure and automation ...

create the integrated technical foundation that enables AI to scale far beyond individual use cases. Job Requirements 10+ years of experience in AI/ML engineering, data science, AI solution architecture, or senior technical leadership roles. Deep expertise in ML, MLOps, AI engineering, and GenAI—including model architectures, evaluation methods … sales engagements, including proposals, RfPs, solution visioning, demos, and technical storytelling. Shape Vector8’s AI point of view, frameworks, and best practices in ML, MLOps, and GenAI. Ensure High-Quality Delivery Across the AI Lifecycle Establish high standards for engineering excellence, model quality, solution robustness, and responsible AI practices. Foster ...

contributions will genuinely make a difference. The Role As a Graduate AI Engineer, you’ll support the development and deployment of AI and machine learning solutions across a range of innovative projects. The successful candidate will be passionate about emerging technologies, eager to learn, and excited … Docker, APIs, or Git workflowsFamiliarity with frameworks such as PyTorch, TensorFlow, or Scikit-learn Internship, university project, or personal portfolio related to AI/ML What’s on Offer Competitive graduate salary package Company stock options/equity scheme Hybrid and flexible working environment Direct mentorship from experienced AI engineers ...

to Rank : Expertise with pointwise, pairwise, and listwise ranking approaches, including re‐ranking, diversity, freshness, novelty, deduplication, and relevance optimisation. User Modelling & Behavioural ML : Experience modelling user intent, preferences, workflows, and engagement patterns. Familiarity with session‐based learning, sequence modelling, and balancing short‐term versus long‐term user … Graph & Entity‐Aware Ranking : Ability to incorporate relationships between companies, sponsors, lenders, law firms, instruments, documents, and events into ranking and recommendation decisions. Production ML Engineering : Experience building feature pipelines, online and batch inference systems, low‐latency ranking services, experimentation platforms, and monitoring for production machine learning systems. ...

computer vision algorithms and models. Adapt off‐the‐shelf solutions for our specific needs and integrate them seamlessly into our product. End‐to‐End ML Lifecycle: Own the full machine‐learning lifecycle from ideation and development to testing, validation, and deployment. Ensure models are optimized for real‐time … ensure robust and scalable deployments. Qualifications A Master’s or PhD in Computer Science, Engineering, or a related field. 3+ years of experience in machine learning and computer vision, with practical application of generative models. Proficiency in Python and experience with deep‐learning frameworks such as PyTorch. ...

Google Cloud Consulting - Forward Deployed Engineering (FDE) team, you will lead a squad of artificial intelligence and machine learning (AI/ML) engineers who bridge the gap between AI products and production‐grade reality within customers. You will be responsible for a team that doesn't just consult … experts (Machine Learning Operations (MLOps), Generative Media (GenMedia), or Agentic systems) to key accounts. Lead technical hiring for FDE, evaluating AI/ML expertise, systems engineering, and coding skills to build an engineering squad. Identify skill gaps in emerging tech (Model Context Protocol (MCP), tool‐calling, and foundation ...

Senior ML/MLOps Engineer A career at Booksy means you're part of a global team focused on helping people around the world feel great about themselves, every day. From empowering entrepreneurs to build successful businesses, to supporting customers in arranging their 'me time' moments … business of helping people thrive. Working in a fast-moving scale-up where the ML platform is still being built, not inherited, is not for everyone. If you prefer a mature toolchain handed to you on day one, a narrow brief, and limited ownership, this likely isn't your place. ...

translate them into scalable, production-ready solutions. Conduct forward-looking research on generative AI, multimodal learning, and representation learning. Identify emerging AI/ML techniques with high potential for retail and consumer analytics, shaping conceptual prototypes and feasibility assessments. Drive internal thought leadership by defining standards, sharing knowledge … advising product, engineering, and data science teams on ML adoption and best practices. Work with leading academic groups and private-sector research partners to co-develop new modelling approaches, run joint experiments, or explore cutting-edge AI applications. Mentor other data scientists and contribute to growing organisational capability in deep ...

Act. Identify opportunities for process optimisation through AI and automation. Delivery Leadership Provide technical leadership throughout project lifecycles. Collaborate with AI/ML Engineers, Data Scientists, Software Engineers, and Product Teams. Review solution designs and ensure alignment with enterprise architecture standards. Support deployment planning, risk management, and solution scalability across … correct, or escalat Professional Experience 7+ years in software engineering, solution architecture, data engineering, or AI‐related roles. 3+ years designing enterprise AI or ML solutions. Experience leading cross‐functional teams and client engagements. Additional Information Benefits Share in our success with our Quarterly Performance‐Related Profit Share Scheme. Strong ...

translate them into scalable, production-ready solutions. Conduct forward-looking research on generative AI, multimodal learning, and representation learning. Identify emerging AI/ML techniques with high potential for retail and consumer analytics, shaping conceptual prototypes and feasibility assessments. Drive internal thought leadership by defining standards, sharing knowledge … advising product, engineering, and data science teams on ML adoption and best practices. Work with leading academic groups and private-sector research partners to co-develop new modelling approaches, run joint experiments, or explore cutting-edge AI applications. Mentor other data scientists and contribute to growing organisational capability in deep ...

your research. Our position offers opportunities to grow your technical and non-technical skills and make a global impact immediately. Key job responsibilities Develop machine learning algorithms for high-scale recommendations problems Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making … into multiple observability features focussed on reducing the customer impact time. Basic Qualifications PhD, or a Master's degree and experience in CS, CE, ML or related field research Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related ...

stakeholder instincts to deliver products that people actually use, and the curiosity to push the boundary of what People Analytics can do through machine learning and AI. This is a senior individual contributor role with real scope. You will own a portfolio of stakeholder relationships … Business Partnering and Finance, responsible for both supporting existing products and delivering new ones. Machine learning and AI: Design, build, and deploy ML models and AI‐powered data products. Working from our People Analytics AI roadmap, you will identify high‐value use cases and deliver production‐grade solutions ...

that is growing! - from consumers around the world. Our Data Scientists in the GTM Applied AI team leverage this data to build AI/ML models that improve our go-to-market (GTM) efficiency and enhance our pricing and revenue management strategy. We are seeking a skilled Data Scientist … maintain our GTM and Pricing models. You will collaborate closely with our pricing and monetization squad and team of software developers, data analysts and ML engineers to develop, deploy, and maintain innovative AI/ML models at scale. You will be part of a unique journey where data ...