626 to 650 of 3,218 Machine Learning Jobs in England

translate into business value. We embrace a fast-paced, entrepreneurial mindset, enabling us to iterate rapidly and refine our AI strategies based on continuous learning and real-world feedback. Key Responsibilities AI Research and Model Development Conducting research in AI, using a full range of machine learning … and optimising AI that enhances automation and decision-making. Ensuring AI models are scalable and efficient for real-world enterprise deployment. Experimenting with different machine learning and GenAI techniques, including prompt engineering, RAG (Retrieval Augmented Generation), fine-tuning of LLMs, RLHF (reinforcement learning with human feedback), and … discussions. Engaging with customers to understand AI needs and create practical solutions. Continuous learning and innovation. Staying up-to-date with AI and ML research relevant to HR and workforce management. Exploring new techniques in deep learning and generative AI. Publishing research findings in internal reports and industry More ❯

s shaping the future of insurance through advanced analytics. As the industry evolves in an era of rapid technological change, Aviva is investing in machine learning and analytics as a core capability. Our team is recognised as a centre of excellence within the Global Data Science Department - delivering … lines insurance. Skills and experience we're looking for: Proven ability to solve complex, non-routine problems using expertise in areas such as Statistics, Machine Learning, Deep Learning, or AI. Strong communication and stakeholder engagement skills - able to explain complex concepts clearly to a variety of audiences. More ❯

s shaping the future of insurance through advanced analytics. As the industry evolves in an era of rapid technological change, Aviva is investing in machine learning and analytics as a core capability. Our team is recognised as a centre of excellence within the Global Data Science Department - delivering … lines insurance. Skills and experience we're looking for: Proven ability to solve complex, non-routine problems using expertise in areas such as Statistics, Machine Learning, Deep Learning, or AI. Strong communication and stakeholder engagement skills - able to explain complex concepts clearly to a variety of audiences. More ❯

brackets), so we are not expecting candidates to be experienced in all of the areas outlined below. Qualifications: AI techniques (e.g. supervised and unsupervised machine learning techniques, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection). Proficiency in Python, R … wait for your email authorisation before we send your CV to this organisation. Deerfoot IT: Est. 1997. REC member. ISO certified. Tagged as: Industry , Machine Learning , United Kingdom More ❯

global list of customers that are building mission-critical applications on top of AWS services. Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply advanced Generative AI algorithms to solve real world problems with significant impact? The Generative … GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities Collaborate with ML scientists and architects to research, design, develop, and evaluate advanced generative AI algorithms to address real-world challenges. Interact with customers directly to understand the … Proven knowledge of AWS platform and tools. PhD degree in Computer Science, or related technical, math, or scientific field. Hands-on experience of building ML solutions on AWS. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace More ❯

hands-on role working on real-world problems within a highly successful and scaling SaaS tech company, the core product is an AI and Machine Learning platform that is used within the automotive sector for a range of purposes e.g. engine calibration, performance. As a Software Delivery Manager … the office is close to the station and has an onsite gym with 24 hour access. About you: You have experience within SaaS, Deep Learning/Machine Learning, AI or complex engineering environments You have experience as a Software Delivery Manager and a strong understanding of Agile More ❯

hand man' to work alongside the Head of Data Science to drive the company vision. ROLE: Lead the design, development and deployment of various ML and AI based models Work across a wide range of business problems to implement state of the art AI systems such as LLM's, GenAI. … Also work with traditional ML use cases (churn, forecasting etc) to drive business impact. Mentor and guide junior members of the team. Stay up to date with the cutting edge of ML and AI. Collaborate with cross functional teams to implement complex ML/AI products, regularly communicating with senior … machine learning products. Expertise in a variety of machine learning and AI techniques - ideally having a background that covers traditional ML and advanced AI Strong communication skills. A background working in strong/known tech companies (Meta, Google etc..) If you are interested in this role More ❯

healthcare, manufacturing and agriculture. Working cross-functionally in this fast-growing startup, you will have a unique opportunity to develop first-class AI and ML products and solutions and join a business at an exciting stage of growth as they prepare to scale. You should consider this opportunity if the … entails over a job in a large corporation ✔️ You are excited about Generative AI and what the future holds About the role : Develop Deep Learning solutions Develop the methodology and assessment criteria to measure solution performance Track and implement advancements in Deep Learning and Computer Vision Maintain Machine Learning products Help shape the data science team as it scales About you : Current or recent experience in a tech startup or scale-up with a fast-paced environment Expertise in Deep Learning and Computer Vision (incl. image classification, detection, facial recognition, etc.) Understanding of transfer learning More ❯

the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO Job Qualifications Key responsibilities Deploy machine learning models to production and implement measures to monitor their performance Implement ETL pipelines and orchestrate data flows using batch and streaming technologies … Infrastructure as Code tools (e.g. Terraform or CloudFormation) Strong understanding of data modelling and system architecture Demonstrable experience on at least one AI/ML project Knowledge of common machine learning frameworks and models A good understanding of approaches to monitoring ML models in production As a technology More ❯

this role, you will direct AI-driven solutions, apply plasma physics expertise, and guide a multidisciplinary team using Python. Candidates with advanced AI/ML expertise or a physics background-particularly in plasma science-coupled with professional AI/ML experience are encouraged to apply. This position offers a unique … semiconductor solutions, such as plasma etch and deposition. Utilize Python libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) to architect and prototype cutting-edge ML systems, leveraging Linux environments. Able to expand programming expertise to other languages such as C++ and Java. Drive complex AI and physics-driven projects, collaborating … with engineering, application, and customer support teams to deliver market-ready products. Mentor and coach team members, fostering expertise in AI, ML, and physics within the Innovation Group, and assume leadership roles as required. Shape our AI-powered product roadmap, identifying new opportunities by adapting technologies from diverse fields. Build More ❯

MLOps Engineers (Mid, Senior & Lead level) – UKIC DV Cleared | AI/ML Start-up | Manchester | Hybrid Are you an MLOps Engineer with active UKIC DV clearance looking to make a real-world impact at the cutting edge of AI and machine learning? We’re hiring Mid, Senior, and … the forefront of delivering scalable, production-grade AI solutions across mission-critical domains. You’ll play a key role in designing and deploying robust ML infrastructure, supporting both public and private sector clients. What You'll Do as an MLOps Engineer: Deploy and manage machine learning models in … tools like Terraform, Docker, Kubernetes, and Python Contribute to agile ceremonies (sprint planning, retrospectives, code reviews) Collaborate on high-impact, real-world AI/ML projects that truly make a difference Contribute ideas in a relaxed, open, and innovation-driven culture Location & Flexibility for the MLOps Engineer: Hybrid role based More ❯

Senior Consultant - AI/ML, Tech & Industry AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. AWS Asia Pacific & Japan (APJ) Professional Services (ProServe) is seeking … a Senior Consultant, AI/ML for its Technology & Industry team. This role will be focused on helping customers build or migrate their data-driven business workloads on AWS. From ideation through to build and then to operate, AWS ProServe is committed to helping customers accelerate their time-to-value. … our customers across all industries. This Senior Consultant will be based in India. Successful candidates will be experienced and motivated business-oriented AI/ML practitioners. They must possess a unique balance of business knowledge and technology depth in Artificial Intelligence and Machine Learning with delivery implementation experience. More ❯

pipelines, combined with a strong focus on observability and the ability to leverage vendor technologies to deliver impactful solutions. While this is not an ML development role, familiarity with the machine learning lifecycle is an advantage. Key Responsibilities Distributed Systems Development : Design and build scalable distributed systems using … and Databricks to deliver scalable, robust solutions. Observability Knowledge : Deep understanding of observability principles, including monitoring, logging, and real-time system insights. AI/ML Lifecycle Awareness : Familiarity with the machine learning lifecycle (e.g., tools like MLflow) and its integration into production systems. Collaboration : Strong interpersonal skills with More ❯

re looking for a Senior or Lead Machine Learning Engineer to join a growing data science team, focused on delivering production-ready ML solutions and building reliable cloud infrastructure on Azure. Responsibilities: Lead ML projects from design to production deployment Build and manage data pipelines and cloud-based … reviews Skills & Experience: Strong Python expertise (Pandas, scikit-learn) and solid SQL skills Hands-on experience with Azure services (VMs, Web Apps, Storage, Azure ML) Knowledge of DevOps tools: GitHub Actions, Terraform, Docker, Kubernetes, Airflow Understanding of software engineering best practices and cloud security Exposure to ML model lifecycle and More ❯

of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance. Role Overview: As ML Engineer, RegBrain, your mission is to: Participate in the continuous improvement of RegBrain's products. Develop advanced NLP and AI-based products that will delight … users. Provide excellence in cloud-based ML engineering, with as much focus on Operations as Development. Expand of the Team's knowledge via demonstration and documentation. Key Responsibilities: As a machine learning engineer, your main responsibility is to conduct the development andproductionisationof ML and NLP-based features for … CUBE's products - a SaaS Platform (RegPlatform) and an API (RegConnect). Develop optimal ML & NLP solutions for RegBrain use cases, from baseline to SOTA approaches, wherever appropriate. Produce high quality, modular code, and deploy following our established DevOps CI/CD and best practices. Improve the efficiency, performance, and More ❯

cross-functional teams - bringing together Engineering, Data Science, Product and Architecture - to build automated decisioning systems that have real impact. We are hiring an ML Engineering Manager to lead our Digital & Retail team. Reporting to the Head of ML Engineering, you will build & run systems thatimpact millions of customers online … and tens of thousands of colleagues in our stores. What you'll do Lead, coach, and grow a high-performing team of ML engineers. Architect, build, scale and run critical ML applications - from data sourcing & feature engineering to training, deployment, real-time serving and monitoring. Partner with data scientists to … develop & productionise models, ensuring scalability, reliability, and maintainability. Drive innovation, automation in collaboration with other ML Engineering teams. Own end-to-end delivery and operations, balancing feature development with sustainability. Manage delivery timelines, prioritising work and removing blockers to keep projects on track. Champion agile/lean delivery, oversee budgets More ❯

researchers with experience in one or more of the following areas: autonomous agents API orchestration Planning large multimodal models (especially vision-language models) reinforcement learning (RL) sequential decision making BASIC QUALIFICATIONS PhD, or Master's degree and 6+ years of applied research experience 3+ years of building machine learning models for business application experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS Experience with genAI and agents Experience in shipping AI products Our inclusive culture empowers Amazonians to deliver the best More ❯

3+ years of experience in backend engineering and applied machine learning Ability to design, build, and maintain scalable backend and ML infrastructure Proficient in Python Experience deploying services and machine learning models to cloud platforms such as Google Cloud, Azure, etc Hands-on experience with Large … Language Models (LLMs) and modern ML architectures (Bonus) Familiarity with knowledge graphs and their integration into ML systems Comfortable working in fast-paced, ambiguous startup environments Strong ownership mentality and ability to work across the stack when needed More ❯

3+ years of experience in backend engineering and applied machine learning Ability to design, build, and maintain scalable backend and ML infrastructure Proficient in Python Experience deploying services and machine learning models to cloud platforms such as Google Cloud, Azure, etc Hands-on experience with Large … Language Models (LLMs) and modern ML architectures (Bonus) Familiarity with knowledge graphs and their integration into ML systems Comfortable working in fast-paced, ambiguous startup environments Strong ownership mentality and ability to work across the stack when needed More ❯

collection at scale and infer information. The end goals are company classification, tag extraction, relationship mapping, and company valuation. There is huge potential for machine learning, analytics, and NLP. Your responsibilities: Build and scale an automatic data pipeline Ingest and analyze various data sources to drive innovation in … to date/share your passions Stay up to date with state-of-the-art approaches and technological advancement Share your passion for science, ML, and technology Who are you? You have BS or MS in Computer Science or Mathematics related field . You have 3+ years of experience as … have: Experience with Neural Networks/Deep Learning. Experience with information extraction, parsing, and segmentation. Experience with machine learning frameworks ( sklearn ) and ML workflow. Experience with NLP libraries and text preprocessing (nltk, SpaCy, language models, ). Experience with cloud environments: AWS, Azure. Experience with business intelligence tools like More ❯

consistency. Develop Scalable Data Models: Collaborate with analysts and data scientists to design and maintain data models that enable more intuitive use for reporting, machine learning, and advanced analytics. Research and Adopt Emerging Data Technologies: Stay ahead of industry trends by researching emerging tools and frameworks. Recommend and … degree in mathematics, physics, computer science, engineering, or a related field. Understanding of data science concepts and experience collaborating with data scientists to productionise machine learning models. Active participation in tech or open-source communities, with a passion for sharing knowledge and inspiring others. Strong communication skills, with … application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore More ❯

reality. Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested software - preferably in the AI/ML industry. Candidates should be comfortable with modern, cloud-native computing, and with continuous development and production deployment on cloud platforms to large user populations. Educational … necessary; passion to help therapies for new and existing diseases, and a pattern of continuous learning and development is mandatory. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make … be committed to your career and development from day one. Key responsibilities: Back-end development for a Python web application Integration of AI/ML components with frontend, data and compute infrastructure Responsible for high quality software implementations according to best practices, including automated test suites and documentation Develop, measure More ❯

needed. The team leverages state-of-the art technology and GenAI to deliver the products and associated goals. BASIC QUALIFICATIONS 3+ years of building machine learning models for business application experience PhD, or Master's degree and 6+ years of applied research experience Experience programming in Java, C++ … Python or related language Experience with neural deep learning methods and machine learning Experience with prompting techniques for LLMs PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark More ❯

IDEX. Application Instructions Interested applicants should write to us with: a letter of interest, CV, and should require two recommendation letters. Context Bayesian deep learning brings together two of the most important machine learning paradigms: Bayesian inference and deep learning. On the one hand, Bayesian learning … a theoretically sound framework to formalise the estimation of the architecture and the parameters of deep neural network models. On the other hand, deep learning offers new tools in Bayesian modelling, e.g. to learn flexible nonparametric priors or computationally efficient posterior distribution approximations. State of the Art The field … of machine learning has recently been much impacted by deep learning. Deep neural networks are now at the basis of the state-of-the-art in computer vision, natural language processing, to cite just a few. While very effective, these models are computationally costly and require large quantities More ❯

Professional Services Consultant - Early Career Program Role starts in March or September 2025. Do you want to experiment with innovative technologies, including Cloud Computing, Machine Learning, and Internet of Things? Are you passionate about educating, training, designing, and building enterprise cloud computing solutions for a diverse and challenging … Data & Analytics role supports our services that leverage data and produce business insights, which may include using Machine Learning/Artificial Intelligence (ML/AI). Helping our customers use and integrate Big Data services in what is arguably our industry's most exciting space. Security Consultant: Supports More ❯