251 to 275 of 1,356 Machine Learning Jobs in the UK

CUDA/GPU Systems Engineer (ML Infra) Remote We’re partnering with a well-funded AI company building advanced multi-agent systems. They’re looking for engineers with experience working close to the GPU layer. This is a CUDA-heavy role focused on improving the performance of large-scale machine learning systems. You’ll be solving problems like: Optimising CUDA kernels for ML workloads Improving GPU utilisation and memory efficiency Profiling and debugging GPU bottlenecks Accelerating training and inference pipelines Working alongside ML researchers building multi-agent AI systems Essentials: Strong CUDA/GPU programming experience Experience writing ...

analysts, coaches, and performance staff to understand requirements and translate them into actionable data solutions Stay up to date with advancements in sports analytics, machine learning, and data science methodologies Your Background 3+ years of industry experience as a Data Scientist , plus a strong academic foundation Python … Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch Model Deployment : Proven ability to productionise models ...

using R in conjunction with REST APIs Development and maintenance of Shiny applications Data wrangling, analysis, and automation of analytical workflows Desirable AI/ML: Supporting or deploying AI and machine learning workflows in production environments Integrating analytical or machine learning outputs into existing platforms ...

learning and generative AI solutions across multiple business units. Build and manage a high-performing team of AI engineers, data scientists, and ML operations specialists. Establish governance frameworks to ensure ethical, secure, and compliant AI usage. Drive commercial value through automation, intelligent decisioning, predictive analytics, and GenAI-powered … record delivering AI at scale in regulated environments, with skills across the following areas: Deep expertise in Google Cloud AI stack (Vertex AI, BigQuery ML, Generative AI tools). Experience leading AI, ML, or data science functions within financial services or similarly regulated industries. Strong understanding of cloud architecture, MLOps ...

Benefits Our client is a fast-growing, venture-backed advanced manufacturing company, redefining how high-performance metal components are designed and produced. By combining machine learning, physics-based modelling, and metal 3D printing, the team is pushing the boundaries of what engineered materials can achieve. They … Fusion machines generate vast streams of data. The successful candidate will turn that data into insight and predictive power. Responsibilities include: Building statistical and machine learning models to predict machine and component performance Identifying key drivers of variation in advanced manufacturing processes Designing robust data pipelines that ...

technical stakeholders Requirements Strong experience building and deploying LLM/Generative AI solutions Hands-on with LangChain, RAG, multi-agent systems Cloud ML deployment experience (AWS, Azure or GCP) DevOps tooling: Kubernetes, CI/CD, GitHub, GitOps Customer-facing technical delivery experience Background in Machine Learning, Data Science … Engineering This role suits a Senior Machine Learning Engineer, Applied AI Engineer, AI Solutions Engineer or LLM Engineer who enjoys client impact, rapid prototyping and owning delivery in fast-moving environments. Apply now to work at the forefront of enterprise AI deployment and agentic systems. ...

technical stakeholders Requirements Strong experience building and deploying LLM/Generative AI solutions Hands-on with LangChain, RAG, multi-agent systems Cloud ML deployment experience (AWS, Azure or GCP) DevOps tooling: Kubernetes, CI/CD, GitHub, GitOps Customer-facing technical delivery experience Background in Machine Learning, Data Science … Engineering This role suits a Senior Machine Learning Engineer, Applied AI Engineer, AI Solutions Engineer or LLM Engineer who enjoys client impact, rapid prototyping and owning delivery in fast-moving environments. Apply now to work at the forefront of enterprise AI deployment and agentic systems ...

Model Context Protocols, A2A Protocols, Agent Developeer Kit and working experience with LLMs Expertise in deploying production grade GenAI solutions, including evaluation and optimizations; Machine Learning deployments on AWS, Azure or GCP Extensive hands-on data science experience, leveraging machine learning and data science tools (i.e. ...

solving skills to collaborate effectively with cross-functional teams. Awareness of security principles and best practices to ensure secure data solutions. Commitment to continuous learning and staying current with Azure, Databricks and data engineering trends. Strong experience working within an agile development methodology, ideally Scaled Agile (SAFe or similar … technical/scientific subject (or equivalent experience). Microsoft Azure Data Engineer or Solutions Architect certification (desirable). Databricks Certified Data Engineer or Machine Learning Associate (desirable). Experience with streaming solutions (Kafka, Event Hubs, Spark Streaming) (desirable). Knowledge of machine learning ...

solving skills to collaborate effectively with cross-functional teams. Awareness of security principles and best practices to ensure secure data solutions. Commitment to continuous learning and staying current with Azure, Databricks and data engineering trends. Strong experience working within an agile development methodology, ideally Scaled Agile (SAFe or similar … technical/scientific subject (or equivalent experience). Microsoft Azure Data Engineer or Solutions Architect certification (desirable). Databricks Certified Data Engineer or Machine Learning Associate (desirable). Experience with streaming solutions (Kafka, Event Hubs, Spark Streaming) (desirable). Knowledge of machine learning ...

solving skills to collaborate effectively with cross-functional teams. Awareness of security principles and best practices to ensure secure data solutions. Commitment to continuous learning and staying current with Azure, Databricks and data engineering trends. Strong experience working within an agile development methodology, ideally Scaled Agile (SAFe or similar … technical/scientific subject (or equivalent experience). Microsoft Azure Data Engineer or Solutions Architect certification (desirable). Databricks Certified Data Engineer or Machine Learning Associate (desirable). Experience with streaming solutions (Kafka, Event Hubs, Spark Streaming) (desirable). Knowledge of machine learning ...

Proven experience building and deploying LLM/Generative AI applications Strong hands-on expertise with LangChain, RAG architectures, and multi-agent systems Experience deploying ML solutions in cloud environments (AWS, Azure, or GCP) Familiarity with DevOps practices and tooling: Kubernetes, CI/CD, GitHub, GitOps Prior experience in client-facing … technical delivery roles Background in Machine Learning, Data Science, or AI Engineering This opportunity is ideal for a Senior Machine Learning Engineer, Applied AI Engineer, AI Solutions Engineer, or LLM Engineer who thrives on client engagement, rapid experimentation, and taking ownership of delivery in fast-paced ...

systems from the ground up. What makes this role interesting: Lead and grow a high-performing AI team while remaining hands-on with modern ML and GenAI tooling Own and evolve the AI strategy, driving real product impact through LLMs, agentic architectures, and advanced ML Work cross-functionally with Product … built commercial AI products Deep experience across Generative AI, LLMs and classical machine learning Strong hands-on engineering background (Python, PyTorch, ML frameworks) Experience with agentic AI systems, RAG pipelines, and modern AI tooling A leader who can mentor teams, shape strategy, and drive delivery in fast-moving ...

Role Build and fine tune LLMs and NLP models for analytics and conversational products. Apply mathematical and quantitative thinking to financial use cases. Develop ML pipelines, model evaluation processes, and production ready code. Work with engineers to deploy models in AWS. Support and guide mid level Data Scientists. Your Skills … Experience Strong commercial experience in Python, machine learning, and NLP. Hands on work with LLMs, fine tuning, and modern ML tooling. Ability to understand quantitative concepts for trading and financial analytics. Experience working in cloud based engineering environments, ideally AWS. Comfortable collaborating with cross functional teams. ...

from day one — not just writing code in the corner. We’re looking for an ambitious Graduate Software Developer who loves tackling technical challenges, learning fast, and working with smart, supportive engineers. This is a genuine launchpad for your career in tech — ideal for someone who wants to grow … into a Software Engineer, Machine Learning Developer, or Full-Stack Engineer role within 12–24 months. What You’ll Do Design and build high-performance software used by thousands of users daily Develop clean, efficient, and scalable code in Python, C++ or JavaScript Collaborate with engineers, data scientists ...

Model Context Protocols, A2A Protocols, Agent Developeer Kit and working experience with LLMs Expertise in deploying production grade GenAI solutions, including evaluation and optimizations; Machine Learning deployments on AWS, Azure or GCP Extensive hands-on data science experience, leveraging machine learning and data science tools (i.e. ...

Model Context Protocols, A2A Protocols, Agent Developeer Kit and working experience with LLMs Expertise in deploying production grade GenAI solutions, including evaluation and optimizations; Machine Learning deployments on AWS, Azure or GCP Extensive hands-on data science experience, leveraging machine learning and data science tools (i.e. ...

solving skills to collaborate effectively with cross-functional teams. Awareness of security principles and best practices to ensure secure data solutions. Commitment to continuous learning and staying current with Azure, Databricks and data engineering trends. Strong experience working within an agile development methodology, ideally Scaled Agile (SAFe or similar … technical/scientific subject (or equivalent experience). Microsoft Azure Data Engineer or Solutions Architect certification (desirable). Databricks Certified Data Engineer or Machine Learning Associate (desirable). Experience with streaming solutions (Kafka, Event Hubs, Spark Streaming) (desirable). Knowledge of machine learning ...

place to advance your career. What you will do: Analyse large and complex datasets to uncover insights and inform decision-making. Design and implement machine learning models to address business challenges. Develop dashboards, reports, and visualizations to present data-driven insights. Collaborate with cross-functional teams to identify … software development team. Communicate findings clearly and effectively to both technical and non-technical stakeholders. Required Skills: Proven experience (2+ years) in data science, machine learning, and statistical analysis Degree in Data Science, Computer Science, Mathematics, or a related field. Proficiency in Python for data analysis and machine ...

that integrate into modern cloud and enterprise platforms. The Role You will develop end-to-end AI solutions , combining modern software engineering with advanced machine learning and generative AI capabilities. Key Responsibilities Build and deploy full-stack AI applications including APIs, services, and user-facing interfaces. Develop GenAI … impactful AI products. Contribute to technical best practices, innovation, and AI engineering standards . Key Skills & Experience Strong Python development experience with AI/ML/NLP libraries (Hugging Face, spaCy, NLTK). Experience building applications using LLMs (GPT, Llama, Mistral, Claude) including prompt engineering, fine-tuning and evaluation. Hands ...

within a B2B SaaS company. You have experience in building AI applications within financial services You have experience in applying and optimizing statistical and machine learning models to solve business problems. You have experience with at least one of the major cloud platforms (AWS, Azure, GCP). What … automated decision-making in financial services — setting the standard for how AI is applied responsibly and effectively in this industry. We were founded by machine learning and data science experts with deep experience in financial services. Today, our team works across Berlin, London, and New York, bringing together ...

performance of Optimal's AI to maximise crop yields and minimise resource consumption, working closely with our agronomy experts. Technical skills Experience training Machine Learning models. Strong background in at least one of Machine Learning, Optimisation, Control (Model Predictive Control, Optimal Control, and classical feedback techniques … Reinforcement Learning, Physics Modelling and Numerical Simulation. Software engineering in Python (Julia is a bonus) Software engineering processes and tools (containers, version control, deployments etc) AI coding Compensation Salary: £70k – £125k Equity: 0.5% – 5.0 ...

Senior Machine Learning Engineer - Agentic AI Platform Location: Central Cambridge (Hybrid) | Permanent | In partnership with Robert Half The Opportunity Join a global SaaS company building a cutting-edge multi-agent AI platform for enterprise data. This hands-on role focuses on scaling, hardening, and refining a graph-based ...

institutional VC funds and C-level executives of global technology companies. The role involves the design and development of a web-based application for Machine Learning workloads. We put strong emphasis on user experience, aesthetics and pixel-perfect design. You will be working closely with the Machine Learning team to understand the underlying concepts and user flows; however, you are not required or expected to have background in Machine Learning. This is a senior-level role, and we are looking to hire a software engineer with background in product design, UI/UX design ...

data science lifecycle; shaping problems, exploring data, experimenting with models, and deploying real solutions that drive real outcomes. You’ll be: • Building and deploying machine learning models used directly in live products (e.g., anomaly detection, forecasting, clustering, recommendation) • Working hands-on with large, messy, real-world datasets … need to tick every box, but you should recognise yourself in most of these: • Strong skills in Python or R • Experience with ML frameworks such as Scikit‐learn, TensorFlow, PyTorch • A solid understanding of machine learning, statistics, and modelling best practice • Competence with SQL and real‐world, imperfect ...