801 to 825 of 3,270 Machine Learning Jobs in the UK

drive impact, we've got an opportunity just for you. As a Senior Lead Software Engineer at the company within the AI/ML \& Data Platforms group, you lead a technical area and drive impact within teams, technologies, and projects across departments. Utilize your in-depth knowledge of software, applications ...

with Data Scientists, DevOps Engineers, Architects, and Software Developers to deliver reliable, secure, and automated MLOps platforms supporting large-scale data processing and production ML workloads. Key Responsibilities Deploy machine learning models into Azure production environments. Design, implement, and maintain Azure MLOps infrastructure. Build and manage CI/… pipelines for machine learning solutions using Azure DevOps. Containerize applications and ML models using Docker. Monitor model performance, health, and reliability in production. Implement logging, monitoring, and alerting solutions. Optimize infrastructure for scalability, performance, and cost efficiency. Implement automated deployment and scaling strategies. Manage Azure cloud resources supporting ...

models into production environments. Follow deployment strategies in place to ensure safe and controlled rollouts. Design and manage the infrastructure required for hosting ML models, including Azure cloud resources. Utilize containerization technologies like Docker to package models and dependencies. Establish Azure monitoring solutions to track the performance and health … mechanisms to capture relevant information for debugging and auditing purposes. Continuously monitor and maintain models in production, ensuring optimal performance, accuracy and reliability. Optimize ML infrastructure for scalability and cost-effectiveness. Implement auto-scaling mechanisms to handle varying workloads efficiently such as parallel run Enforce security best practices to safeguard ...

+ £5,000 Car Allowance + Bonus London(Hybrid – 2x Days a Week in Office) If you enjoy solving complex modelling problems, building innovative machine learning solutions, and working with alternative data to challenge traditional pricing strategies, this is an opportunity to join … learning models Strong Python skills Experience developing predictive models within commercial environments Experience working with large, complex datasets Experience with cloud-based ML platforms (Azure ML preferred) The ability to communicate technical findings to non-technical stakeholders Experience mentoring or supporting more junior data scientists is advantageous Experience ...

Must have active DV Clearance Up to £85k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in Machine Learning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Senior Data Scientist with DV Clearance for a prestigious … opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Apply creative data science and ML techniques Innovate and research solutions Stay current with ML and data tech Engage in full data science lifecycle Document technically Deliver high-quality project components ...

robust solutions Provide technical guidance and mentorship to junior engineers, promoting best practice across AI development Lead implementation of engineering standards across AI and ML delivery Stay current with emerging AI technologies and contribute to continuous innovation Essential Skills for the AI Engineer: Strong proficiency in Python with extensive experience … using AI, ML and NLP libraries Hands-on experience working with modern large language models including prompt engineering, fine-tuning and evaluation Practical experience with core Generative AI frameworks and agent-based AI frameworks Strong experience with MLOps and LLMOps tooling including model lifecycle management Proven deployment experience on major ...

Role: Sr. Gen AI Architect Employment : Permanent Location: London,UK - hybrid Skills: Minimum of 7 years of experience in AI/ML architecture or a related role. Proven experience in designing and deploying generative AI models and solutions. Hands‐on experience with AI frameworks and tools such as TensorFlow, PyTorch … Google Cloud) and deploying AI solutions in cloud environments. Technical Skills: Proficiency in programming languages such as Python, Java, or C++. Strong understanding of machine learning algorithms, deep learning #J-18808-Ljbffr ...

technical designs and implementations, providing clear technical direction and sign‐off. Supporting and mentoring data scientists on complex technical challenges. Partnering with Data Architecture, ML & Data Engineering, and BI teams to ensure solutions are scalable, robust, and production-ready. Evaluating new techniques and tools, guiding their pragmatic adoption. Communicating technical … data science or machine learning roles. Proven experience operating as a senior technical lead, reviewer, or technical sign‐offauthority. Strong experience building ML solutions on cloud platforms (GCP, AWS, or Azure). Advanced expertise in Python and SQL. Deep applied knowledge of machine learning techniques, including ...

Data Science team of a large, established financial services business. The company has invested in its data platform and is building a dedicated ML Engineering capability to get more models into production. You'll work on real business problems, using large and varied datasets to develop models that … models. Using techniques such as regression, classification, clustering and forecasting. Writing clean, reusable Python code that can move beyond the research stage. Working with ML Engineers to deploy models into production. Defining how model performance should be measured and monitored. Reviewing existing models and identifying where they should be improved ...

augmented generation (RAG), named entity recognition (NER), prompt engineering, and personalization for content extraction, search, question answering, reasoning, and recommendation. Develop LLM, NLP, and ML solutions that address client requirements and drive business transformation. Work closely with partner teams—including Business, Technology, Product Management, Strategy, and Business Management—to deploy … reliability. Communicate results effectively to business stakeholders through written reports, visualizations, and presentations. Stay current with the latest research in LLM, agentic AI, ML, and data science, and proactively identify and leverage emerging techniques to drive ongoing enhancement. Qualifications, Capabilities, and Skills Proven experience applying NLP, LLM, and ML techniques ...

currently possible, and they need security to keep pace with that speed. Reporting straight into the CISO. Think of yourself as the bridge between ML engineering, platform architecture, and security, making sure nothing sensitive gets exposed as the science moves fast. Its still a scaling environment. Theres ambiguity, and youll … Security Engineer, you'll take ownership of security across the AI platform and its agentic systems. Map out the threats specific to AI and ML, and build that into a proper risk framework Decide how model weights, training data, and code get tracked and locked down Build guardrails and sandboxing ...

exploration and model development to deploying generative AI and machine learning pipelines. The ideal candidate will have strong Python skills, experience with ML frameworks (e.g., PyTorch, TensorFlow), and a background in training or fine-tuning models including LLMs. Familiarity with technologies like RAG, vector databases (e.g., Qdrant … solutions with real-world needs. Ensure that AI solutions are responsible, ethical and align with governance standards. Stay informed on developments in AI and ML, particularly around generative AI, and evaluate their applicability within the organisation. Contribute to a culture of curiosity, experimentation and continuous learning within the team. ...

Research Engineer to join a collaborative team where cutting-edge ideas become practical solutions. As a Research Engineer, you'll work on advanced machine learning technologies including large language models, reinforcement learning, optimisation, and generative AI, helping shape future semiconductor design and AI systems. … Mathematics, or a related discipline Experience with Large Language Models (LLMs), Reinforcement Learning, optimisation techniques, or generative AI. Experience developing research infrastructure or ML tooling. Knowledge of distributed training, GPU computing, or CUDA. Exposure to semiconductor technologies, chip design, or applied AI research. Commercial or research experience implementing machine ...

native solutions, and ensure AI platforms are secure, governed, and ready for production. What You'll Be Doing Design end-to-end AI and Machine Learning architectures, from data ingestion through to model deployment and monitoring. Define scalable cloud-native AI solutions using Google Cloud Platform (GCP). … Architect, Enterprise Architect or Machine Learning Architect delivering enterprise AI solutions. Strong experience designing end-to-end AI/ML platforms and production-ready architectures. Hands-on knowledge of Google Cloud Platform (GCP) and cloud-native AI services. Experience with MLOps, LLMOps or AI platform engineering, including model ...

week in the London office. The Role: Manage and enhance GCP infrastructure Support Azure cloud environments Enable the deployment and operation of AI and ML solutions Develop and maintain CI/CD pipelines and Infrastructure as Code Collaborate with cloud, AI, and innovation teams to drive adoption of new technologies … experience as a Cloud Engineer or Platform Engineer Expertise in Google Cloud Platform (GCP) Experience with IaaC tools (ideally Terraform) Exposure to AI/ML environments Strong communication skills and a collaborative mindset Desirable: Azure experience Python or Scripting skills Experience in a regulated environment About You: Bright, curious ...

designing and delivering AI, data science, and advanced analytics solutions using the Microsoft Azure technology stack. You will work on projects spanning AI, machine learning, and data platforms for customers, taking responsibility from problem definition through to production delivery. Alongside hands-on technical work, you will help guide … should be comfortable utilising the following capabilities and experience in both client-facing and internal projects Industry experience in delivering AI and or DS & ML solutions, with a good grounding in all associated areas Running discovery, solution design and other consultative workshops Managing technical and non-technical client stakeholders ...

exceptional BSc/MSc engineers looking to build research-driven engineering experience in areas such as operating systems, distributed systems, AI model serving, and machine learning infrastructure. You will work closely with senior architects on real-world projects, helping to prototype and optimize next-generation AI infrastructure. Required … effective technical communication skills. Desired Qualifications and Experience: PhD in systems, distributed computing, or large-scale AI infrastructure. Publications in top-tier systems or ML conferences (NSDI, OSDI, EuroSys, SoCC, MLSys, NeurIPS, ICML, ICLR). Understanding of load balancing, state management, fault tolerance, and resource scheduling in large-scale ...

AI. You are both a deep technical builder and an expert business value translator. What you’ll do Partner with Account Executives and the ML team to lead the technical strategy for complex, enterprise sales cycles and co‐own the technical win Lead deep technical discovery sessions with a wide … range of stakeholders (from ML Engineers to MLOps leaders) to not only uncover business pain but to architect a complete technical solution and integration path Architect, build, and deliver highly‐technical, customised product demonstrations and proof‐of‐concepts (POCs) that solve specific, complex customer problems ...

trends and advancements in AI and machine learning. Profile Must haves: Software Engineering experience - ideally C# or Python Azure (Azure Fabric, Data Factory, ML Studio, Foundry, Synapse, Cosmos etc) Experience dealing with stakeholders, working with a wider tech team, collabortation etc Experience designing, testing and deploying production-scale GenAI … just proof of concepts) Then a mixture of the following on top: GenAI LLM APIs Experience designing, testing and deploying AI/ML solutions Chat Bots/Agents FastAPI Microsoft Agent Framework LangChain Vector database ML Engineering Job Offer Car allowance of 5k Private medical 25 days + BHS Option ...

drive decision-making. The CDAO is also responsible for developing and implementing solutionsthat support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an AI Research Senior Associate in J.P. … prototypes/pilots, reusable components (guardrails/eval tooling), reference architectures, or standards. Preferred qualifications, capabilities, and skills Research publications in prominent AI/ML, Software Engineering venues (e.g., conferences, journals) Practical experience with ML platforms such as TensorFlow/Keras, PyTorch Comfort with rapid prototyping and disciplined software development ...

Processing Engineer/Deep Learning Engineer/Optical Systems Engineer/Tracking Algorithm Specialist/Sensor Integration Engineer/R&D Engineer/ML Engineer/Algorithm Developer/Vision Software Engineer/Embedded Vision Engineer/Object Detection/Kalman Filter/Python/Blob Detection/Optical … Components/AI/ML/CV Development Engineer/AI Software Engineer/Machine Learning Engineer/Computer Vision Engineer/AI Research Engineer/ML Research Engineer/Computer Vision Software Developer ...

knowledge management, NLP or Retrieval-Augmented Generation (RAG), rather than purely research-focused AI. Key Responsibilities Design, build and deploy production-ready LLM and Machine Learning solutions using Azure Databricks, Azure Machine Learning and Azure AI Foundry Develop scalable AI applications using modern orchestration frameworks including … LangChain and LangGraph Build agentic AI workflows and enterprise AI services using retrieval, tool-calling and orchestration patterns Deliver end-to-end AI/ML pipelines covering experimentation, deployment, monitoring and optimisation Apply MLOps and LLMOps best practices across model lifecycle management, governance and production monitoring Work closely with Data ...

system end to end, covering roadmap, modelling strategy, release planning, measurement and production performance. Lead and develop a team of four data scientists and ML engineers, setting priorities and maintaining high technical standards. Own the full product lifecycle for AI products, from opportunity identification through launch, monitoring and iteration. Partner … learning or applied AI, ideally including production systems at significant scale in an adtech environment. A track record of owning AI/ML products end to end, from initial idea through production release and measured business impact Experience leading, coaching or managing data scientists, ML engineers or closely ...

provide our customers with the information they need to make proper decisions and enable their digital transformation. You will help find the appropriate machine learning algorithms to answer those questions and implement those on the C3 AI Platform so they can run at scale. Qualified candidates will have … agentic solutions, regression and classification, supervised, and unsupervised learning). Strong mathematical background (linear algebra, calculus, probability and statistics). Experience with scalable ML (MapReduce, streaming). Ability to drive a projectand workbothindependently and in a team. Smart, motivated, can do attitude, and seeks to make a difference. Excellent ...

experiments, and detection systems that protect millions of customers and merchants across our platform. This is a high-impact role at the intersection of machine learning, product, and engineering, where your work will directly shape how Moniepoint detects and responds to emerging fraud threats. We are looking … data-driven, intellectually curious Data Scientist who is energised by hard problems in fraud and financial crime. You'll prototype and ship ML models, design experiments, and uncover new fraud signals across our ecosystem, partnering closely with engineers, product managers, and analysts to turn your work into production-grade systems. ...