1,376 to 1,400 of 6,454 Machine Learning Jobs in the UK

Digital Humans in complex scenarios. By providing instant feedback anytime, anywhere, we support individuals to thrive in real-world settings, while hospitals accelerate staff learning curves to eradicate errors and inequalities in patient care. First founded by a medical doctor and PhD in Artificial Intelligence, Re:course are proud … frameworks and their ecosystems such as Celery and others. Understanding of data streaming and messaging frameworks Experience with building scalable machine learning (ML) infrastructures, MLOps tools and techniques to deploy, monitor, and manage continuous model deployment pipelines Experience with infrastructure automation tools such as Terraform About you Want ...

Lead and scale a world-class AI/ML professional services team, including hiring, mentoring, and building a team structure to support long-term growth and execution at scale Develop and expand executive relationships with EMEA customers and partners (including VP+, CIO/CDO-level stakeholders), acting as a trusted … strategy Own OKRs for AI-services led accounts, revenue, utilisation, and public references Represent Databricks as a thought leader in AI/ML Extensive experience managing, hiring, and building a team of high-performing data scientists/ML engineers and leaders, with a track record of scaling organisations through developing ...

work such as model development, experimentation, code review and solution architecture. You will lead the design and development of the team's AI and ML solutions, choosing the right approach for each problem, with large language models and agentic AI increasingly central to the work. You will bring mathematical … scientific approach and solution quality. In this role you will be responsible for: Leading the design and development of the team's AI/ML solutions, and framing business problems so that the right approach can be chosen and the result measured against clear success criteria. Leading the design ...

enhance team productivityContribute to the entire stack, from low-level optimizations to high-level model designQualifications: Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related fieldStrong software engineering skills with a proven track record of building complex systemsExpertise in Python and experience with deep … communication skills and ability to work in a collaborative environmentCare about the societal impacts of your workPreferred Experience: Work on high-performance, large-scale ML systemsFamiliarity with GPUs, Kubernetes, and OS internalsExperience with language modeling using transformer architecturesKnowledge of reinforcement learning techniquesBackground in large-scale ETL processesYou'll thrive ...

novel approaches such as graph networks, anomaly detection, and behavioural signals into production where they create real impact. Who you are End-to-end ML ownership across the full stack: data engineering, feature development, model design, training, low-latency production deployment, monitoring, and retraining. Strong instinct for when a model … ready for production and when it is not. Proven track record of building ML models and pipelines from scratch, not integrating or extending someone else's product or tooling. Experienced building real-time or near-real-time inference systems; batch pipelines alone are insufficient. Comfortable with large-scale datasets including ...

time Own the technical implementation pattern (RAG pipeline design, prompt/agent orchestration, model integration via APIs) and work directly with data science/ML engineering teams during build. Sit in sprint planning, backlog refinement, and architecture sync ceremonies to ensure designs are buildable within sprint capacity and technical debt … learning concepts. Proven experience as a Solution Architect or similar role in Commercial domain. Practical experience with at least one AI/ML implementation pattern in production Proficiency in software development methodologies, architectural patterns, and best practices. Excellent analytical and problem-solving skills with the ability to lead ...

learning models in financial services (ideally Anti-Financial Crime/Screening) Experience building Natural Language Processing (NLP)/Machine Learning (ML)/Artificial Intelligence (AI) pipelines, including feature engineering, model training, evaluation and monitoring Experience with hyperparameter tuning at scale and experimentation frameworks Strong technical experience ...

event ingestion pipelines to our data lake, governance frameworks, and data observability and real-time analytics capabilities. You will work closely with data scientists, machine learning engineers, backend teams, and product leaders, providing deep technical expertise to ensure our data systems are scalable, secure, observable, and enable innovation … skills; you’re comfortable influencing technical direction and aligning diverse stakeholders across the organization. Bonus points: Experience with machine learning infrastructure or ML Ops practices. Familiarity with event-driven architectures in a mobile-first product environment. Prior work in fashion, marketplaces, or sustainability-driven tech. Additional Information Health ...

interpret studies supporting model development. Communicate modelling results through reports, presentations, publications, and regulatory documents. Contribute to innovations in modelling, automation, and AI/ML-enabled predictive approaches. What We're Looking For PhD or MSc in Pharmaceutical Sciences, Biopharmaceutics, Pharmacokinetics, Pharmacometrics, Chemical Engineering, or related discipline. Strong expertise … track record of scientific contribution. Desirable Experience PBPK/PBBM regulatory submissions. Virtual bioequivalence and clinically relevant dissolution specifications. Python, R, or MATLAB programming. Machine learning/data science applications in drug development. If you're passionate about using modelling and simulation to accelerate pharmaceutical innovation and improve ...

Kubernetes. Develop automated deployment frameworks for cluster provisioning, software installation, and lifecycle management. Partner with enterprise customers to design solutions that meet AI, machine learning, and high-performance computing requirements. Design and support Large Language Model (LLM), Agentic AI, and AI platform deployments from proof-of-concept through … Slurm, PBS, or Bright Cluster Manager. High-performance networking technologies including RDMA and InfiniBand. MPI and distributed file systems. Cloud-native architectures. AI/ML platforms, Large Language Models (LLMs), inference services, and AI infrastructure. Required SkillsCloud & InfrastructureOracle Cloud Infrastructure (OCI) Cloud Architecture Infrastructure as Code (IaC) Terraform Ansible Kubernetes ...

Quantitative Trading & Research - Quantitative developer in the AI Market Lab, you will work at the boundary of quantitative research, low-latency engineering, and ML infrastructure, creating reliable platforms that shorten the path from raw market data and research prototypes to monitored, resilient production strategies. We are seeking strong talent … engineering, mathematics, or a related technical discipline (or equivalent professional experience). Relevant professional experience in software engineering, quantitative development, low-latency systems, or ML infrastructure. Strong modern C++ skills in data structures, concurrency, memory management, performance profiling, and production debugging. Proficiency in Python and experience building software for quantitative ...

strong background in computational plasma modeling, covering areas such as plasma chemistry, sheath dynamics, ion energy distribution, and plasma-surface interactions. Awareness of machine learning in physics-based simulation workflows is a plus. You are independent, adaptable, and experienced, able to engage rapidly with semiconductor customer teams … each problem (e.g. COMSOL, HPEM, VizGlow, CFD‐ACE+), and validating outputs against experimental or industrial process data. Collaborating closely with PhysicsX Data Scientists and ML Engineers to integrate your simulation work into AI‐powered workflows. Operating independently on open‐ended, highly specialised problems—scoping, executing, and delivering with minimal oversight. ...

Product Data Scientist to join our Insights team to support our Shipping Team. You’ll partner closely with product, operations, engineering, and machine learning to deliver insights, drive experimentation, and shape how every item moves from seller to buyer. This role sits at the intersection of technical depth … first consumer products Experience in shipping, logistics or marketplace unit economics Experience working with machine learning teams or embedding data science in ML-powered product features Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle ...

design to pipeline development, Looker delivery, and enablement; Support existing products and deliver new products for Business Partnering and Finance; Design, build, and deploy ML models and AI-powered data products; Identify high-value use cases from the People Analytics AI roadmap and deliver production-grade solutions; Conduct advanced analyses … data into clear, actionable insights for non-technical audiences; Collaborative, enablement-focused mindset with a focus on self-service; Nice to have: Experience with machine learning or statistical modelling in a production context, exposure to AI product development, LLM tooling, or data applications, experience with data quality frameworks ...

applications built on large language models, including agents, retrieval augmented generation, orchestration frameworks, model optimization, and evaluation frameworks Hands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval … applications built on large language models, including agents, retrieval augmented generation, orchestration frameworks, model optimization, and evaluation frameworks Hands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval ...

world. This is an opportunity to join a modern engineering organisation that's investing heavily in its data platform, enabling engineering, analytics and machine learning teams to build, discover and manage data at scale. You'll help shape the next generation of the company's data platform, building … highly hands-on senior engineering role where you'll own key areas of the platform, influence technical direction, and work closely with Data Engineering, ML Engineering, Analytics, Platform Engineering and Product teams to deliver scalable, reliable data capabilities. You'll architect and evolve core platform services, improve observability and governance ...

vivo relationships. Communicate modelling outcomes through technical reports, presentations, regulatory documents, and scientific publications. Contribute to innovations in modelling methodologies, automation, and AI/ML-driven predictive approaches. Required Qualifications; PhD or MSc in Pharmaceutical Sciences, Biopharmaceutics, Pharmacokinetics, Pharmacometrics, Chemical Engineering, or a related discipline. Demonstrated expertise in PBPK, PBBM … PBBM analyses. Experience with virtual bioequivalence and clinically relevant dissolution specifications. Programming experience with Python, R, MATLAB, or similar scientific tools. Knowledge of machine learning and data science applications in pharmaceutical development. Experience across a range of drug modalities, including poorly soluble compounds, enabling formulations, peptides, or complex ...

Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead … tools and processes Tech Enthusiasm: Strong passion for technology and a drive to continuously learn Team Collaboration: Eagerness to join a diverse team of ML, AI, and DevOps enthusiasts Bonus Points If You Have: Start-Up/Scale-Up Experience: Previous experience working in a start-up or scale ...

Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead …/CD tools and processesTech Enthusiasm: Strong passion for technology and a drive to continuously learnTeam Collaboration: Eagerness to join a diverse team of ML, AI, and DevOps enthusiastsBonus Points If You Have: Start-Up/Scale-Up Experience: Previous experience working in a start-up or scale-up environmentContainerisation ...

ready deployments within Azure environments. Collaborate with analysts and business teams to translate analytical insights into practical outcomes. Evaluate new techniques in AI and machine learning, driving Movar's capability forward through experimentation and continuous learning. Mentor junior data scientists and contribute to knowledge sharing across the team. … applied machine learning. Strong understanding of Generative AI, LLMs, and RAG principles. Experience with data mapping, feature engineering, and end‐to‐end ML lifecycle management. Proficiency across Microsoft's Azure AI and data ecosystem, with an eagerness to adopt Fabric and other emerging technologies. A curious, pragmatic approach that ...

delivery processes from the ground up Building and leveraging AI technology to enhance product features and development workflows We build with technology like: Python & ML/LLM ecosystem — service based solutions Event-driven — real-time data driven solutions Cloud deployments — Azure, Kubernetes, ArgoCD High-performance data & messaging — Graph, Vector, Postgres … Dental Insurance Group Income Protection Group Life Assurance 24-hour mental health support Equity Scheme (coming soon!) Requirements Strong experience delivering production AI/ML systems, supported by excellent software engineering fundamentals.Strong programming skills in Python and experience with typed application languages such as TypeScript.Practical experience with modern ML ...

through technical reports, project team meetings, regulatory submissions, and scientific publications. Drive innovation in modelling methodologies, automation, and data-driven approaches, including AI/ML-enabled predictive tools. Required Experience & Qualifications PhD or MSc in Pharmaceutical Sciences, Biopharmaceutics, Pharmacokinetics, Pharmacometrics, Chemical Engineering, or a related scientific discipline. Strong expertise … PBBM analyses. Knowledge of virtual bioequivalence studies and clinically relevant dissolution specifications. Programming experience with Python, R, MATLAB, or similar scientific tools. Exposure to machine learning and data science applications within pharmaceutical development. Experience across diverse drug modalities, including poorly soluble compounds, peptides, enabling formulations, or complex dosage ...

growing fintech using data, AI and analytics to transform the payments space. This is a high-impact role offering exposure to credit risk, fraud, machine learning and commercial strategy, with direct access to senior leadership. The Company A venture-backed fintech in the payments space. They combine advanced … analytics, machine learning and alternative data sources to help customers make smarter, faster risk decisions. The Role Build and improve credit risk, fraud and pricing models Use analytics to inform strategy, limit optimisation and decisioning Develop machine learning solutions and predictive models Monitor portfolio performance ...

collaborating with leaders across Product and Technology. Your expertise will help us translate business needs into impactful solutions, leveraging LLMs, agentic orchestration, and ML platforms. This is your chance to make a measurable impact and advance your career in a dynamic, innovative environment. Job Description Join us as we build … collaborating with leaders across Product and Technology. Your expertise will help us translate business needs into impactful solutions, leveraging LLMs, agentic orchestration, and ML platforms. This is your chance to make a measurable impact and advance your career in a dynamic, innovative environment. As an AI Product Manager ...

Subfunction: Technology Consulting Job Description: Would you like to be part of a fast-growing technology and engineering organisation that nurtures an open, collaborative learning environment? Are you passionate about technology, people and developing your coding skills? If this describes you, we're trying to create the best engineering … including networking and hybrid connectivity Familiarity with configuration management tooling (e.g. Ansible) Cloud certifications in AWS or GCP alongside Azure Exposure to AI/ML services on Azure (e.g. Azure AI Foundry, Azure OpenAI, Azure Machine Learning) Python coding skills Benefits Along with a great company culture, Credera ...