51 to 75 of 1,374 Machine Learning Jobs in England

surgery and play a significant role in developing next-generation core algorithms of the company. As our Research Scientist, you will help design, implement, and validate new computational and machine learning frameworks. You will work alongside our talented team of scientists and engineers to develop prototype and clinical software. In particular, you will: Shape our real-time surgical … guidance technology by developing state-of-the-art computational and machine learning methods for hyperspectral imaging data. Design and implement algorithms for hyperspectral image data processing, from low-level image reconstruction to deep learning-based tissue property estimation and semantic segmentation tasks to stereo vision reconstruction for multi-view surgical guidance. Contribute to the dissemination through patenting … of a commercial medical device, we are excited to now place our patented technology into the hands of surgeons. We are building our company at the intersection of surgery, machine learning and interventional image computing for optical systems to increase surgical precision and patient safety. We are backed by a highly experienced syndicate of European and American HealthTech More ❯

from start to finish. About the role We are developing several products and features under the banner of “Analysis” as part of the Origin ecosystem, which include: • Kaleidoscope: A machine-learning tool to make early-stage design analysis much faster than traditional methods • SAM (Sustainability Analytical Model): A toolset for rapidly creating simulation models and outputs We are … seeking a Product Lead for Simulation & Analysis with a broad background in building physics and simulation , as well as machine learning , analysis , data science and research . Bringing your experience with computation and machine learning in the field of architecture, engineering or construction, as well as digital product management, you will play a crucial role in …/experience: Agile product management/being part of a development team that adheres to Agile principles. Working knowledge/direct experience with Python or similar. Testing and evaluating ML/software solutions. Product ownership experience. How to apply To apply simply complete a CV profile and submit your application. If shortlisted, one of our recruitment team will be in More ❯

organisation's ability to understand client behaviour, refine predictive models, and deliver actionable insights that influence key business outcomes. You will take on the responsibility of developing and optimising machine learning models, analysing complex datasets, and collaborating closely with cross-functional teams to integrate data solutions into broader business strategies! Embedded within a dynamic Data Science team, you … company's success. This role offers the opportunity to make a tangible difference and leave a lasting impact on the organisation's growth! Job Goals Design and implement advanced machine learning models to solve complex business problems. Optimise the performance of existing models and address weaknesses through detailed analysis. Collaborate with cross-functional teams to integrate analytics solutions … language such as Python, with experience in using Git for version control. Strong SQL skills and familiarity with databases like Redshift, Postgres, or Microsoft SQL Server. Solid understanding of machine learning algorithms, concepts, and applications, including regression, K-means, decision trees, neural networks, as well as exposure to generative AI and large language models (LLMs). Hands-on More ❯

Model (LLM) technologies to deliver engaging, intuitive, and adaptive content recommendations across all Amazon surfaces. We aim to facilitate seamless reasoning and customer experiences, surpassing the capabilities of previous machine learning models. We are looking for a passionate, talented, and resourceful Applied Scientist in the field of Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval … to invent and build scalable solutions for a state-of-the-art context-aware speech assistant. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also enjoy operating in dynamic environments, be self-motivated to take on challenging problems … retrieval - 2+ years experience in building machine learning or deep learning models for large scale customer facing product or features. - Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI) - Solid software development experience - Good written and verbal communication skills Amazon is an equal opportunity employer and does not discriminate on More ❯

Machine Learnig Engineer Hybrid Working - UK Wide - 1 day a quarter on site. Financial Services Lorien's leading banking client is looking for a Machine Learning Engineer to join the growing data science and AI team. You'll play a key role in designing, developing, and deploying scalable machine learning solutions using Python and Amazon … of 1 day a week on site. Key Responsibilities Design and implement machine learning models for classification, regression, and forecasting tasks. Build and manage end-to-end ML pipelines using Amazon SageMaker . Collaborate with data scientists, engineers, and product teams to integrate ML solutions into production systems. Optimise model performance and scalability. Monitor and maintain deployed models … ensuring reliability and accuracy. Stay up-to-date with the latest ML research and tools. Required Skills & Experience Strong proficiency in Python and its ML/data libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow or PyTorch). Hands-on experience with Amazon SageMaker , including training, tuning, and deploying models. Solid understanding of machine learning algorithms and statistical methods. More ❯

Are you a Junior Machine Learning Engineer eager to turn messy, complex data into real-world intelligence? We’re looking for a curious and motivated Junior ML Engineer to join a hybrid-working team building cutting-edge data intelligence tools for the financial sector. You’ll spend part of your time collaborating in person with engineers and data … remotely — giving you the best of both worlds. You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production. In this role, you’ll help train, test, and optimise models that can read, understand, and structure … world clients. What’s in it for you? 📄 AI That Matters – Work on models that make sense of unstructured financial documents and turn them into structured insights. ⚙ Hands-On ML Experience – Learn the full ML workflow — from cleaning data to deploying models and monitoring them in production. 📈 Mentorship & Growth – Work closely with experienced ML engineers who will guide your technical More ❯

Are you a Junior Machine Learning Engineer eager to turn messy, complex data into real-world intelligence? We’re looking for a curious and motivated Junior ML Engineer to join a hybrid-working team building cutting-edge data intelligence tools for the financial sector. You’ll spend part of your time collaborating in person with engineers and data … remotely — giving you the best of both worlds. You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production. In this role, you’ll help train, test, and optimise models that can read, understand, and structure … world clients. What’s in it for you? 📄 AI That Matters – Work on models that make sense of unstructured financial documents and turn them into structured insights. ⚙ Hands-On ML Experience – Learn the full ML workflow — from cleaning data to deploying models and monitoring them in production. 📈 Mentorship & Growth – Work closely with experienced ML engineers who will guide your technical More ❯

in office) Up to £120,000 Shares + Benefits A fast-growing Data & AI Product-based company at the forefront of cutting-edge AI solutions are looking for an ML Lead to join the team and spearhead a number of ambitious products, shaping the architecture, direction, and delivery of advanced AI and Machine Learning initiatives. What youll do … Lead the design and development of Agentic AI systems, generative models, and NLP-powered solutions. Guide and manage a small talented ML engineering team, fostering innovation and technical excellence. Collaborate with product, data science, and engineering teams to bring state-of-the-art research into production. Evaluate and implement the latest AI frameworks, libraries, and cloud tools. Champion best practices … in model deployment, evaluation, and optimisation. What were looking for Strong track record in ML leadership, ideally in production-scale AI systems. Expertise in Agentic AI, LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs More ❯

accelerators are at the forefront of cloud innovation and power some of the most advanced Generative AI applications on AWS. Our custom silicon - including the Inferentia chip for ML inference and the Trainium chip for ML training - delivers industry-leading performance and cost efficiency at scale. These are powered by the AWS Neuron Software Development Kit (SDK), which includes … a deep learning compiler, runtime, and native integration with popular ML frameworks like PyTorch, TensorFlow, and MXNet. Customers such as Snap, Autodesk, Amazon Alexa, and Amazon Rekognition are already benefiting from this technology at scale - and we're just getting started. The Opportunity - Tel Aviv: We're excited to expand the AWS Neuron team to a new engineering site … Annapurna Labs, the AWS Neuron team spans software, hardware, and silicon engineering disciplines. We work closely with AWS service teams and contribute directly to the performance and scalability of ML workloads across the cloud. Our focus: creating a robust, high-performance toolchain that accelerates innovation in Generative AI. You: As a Senior Machine Learning Compiler Engineer in Tel More ❯

Learning Engineer to join their London Government team on a 6-month fixed-term contract . This role offers the opportunity to design, build, and deploy production-grade ML systems that have a direct impact on government services and policy delivery. What you'll be doing Designing and delivering software, infrastructure, and MLOps systems that bring ML models into … real-world use. Collaborating in cross-functional teams with engineers, data scientists, product managers, and designers. Creating scalable, reusable tools that improve ML deployment and operationalisation. Leading on technical design and delivery of government-focused projects. Providing technical expertise to stakeholders and mentoring less experienced engineers. Developing and embedding best practices for managing ML in production. What we're looking … for Active SC Clearance Strong software engineering background with proficiency in Python. Experience deploying ML models built with frameworks such as PyTorch, TensorFlow, or Scikit-learn. Knowledge of probability, statistics, and common ML techniques. Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP). Proficiency with containers, Docker, and Kubernetes. Strong communication skills with the More ❯

Machine Learning Engineer Location: Remote Salary: £70K - £80K Data Idols are working with an exciting company who specialise in renewable energy solutions to hire a Machine Learning Engineer. You will be at the forefront of the cutting edge data platform evolution and will be empowered to make decisions and have impact. The Opportunity Within this role … as a Machine Learning Engineer you will play a critical part in shaping and implementing the data product strategy, you will work with stakeholders across the business and act as a lead within the Data Science function, mentoring and guiding team members. In this company, you have the freedom to have impact, you are empowered to have impact … and SQL Understanding of ETL/ELT Experience developing models If you are looking for a new challenge, then please submit your CV for initial screening and more details. Machine Learning Engineer More ❯

POSITION SUMMARY Our team is looking to add an ambitious Senior Machine Learning Engineer who works well in an extremely innovative and fast-paced environment. If you can translate complex problems into actionable insights, then please continue reading. WHAT YOU'LL DO The successful candidate will work with a team of UK (London) based developers driving the definition … performs intelligent analysis including but not limited to object detection, tracking, and recognition for law enforcement, public safety, and media entertainment applications. The work will involve developing novel deep learning models and algorithms for image and video analysis; object detection and tracking; cross-domain/cross-view object localization; person and vehicle re-identification and search; visual attribute recognition … and search in videos and images; vision-language multimodal self-labeling and self-supervised learning; human-in-the-loop hard negative mining for model incremental learning; LLM (Large Language Model) driven image data generation and data distribution augmentation; and uncertainty quantification for label noise minimization. WHAT YOU'LL NEED Minimum qualifications: PhD degree or equivalent algorithm testing and More ❯

around the world to protect millions of customer accounts and billions of transactions annually. Leveraging proven data science, including our proprietary consortium data, our customers use our risk-based, machine learning platform to deliver the highest fraud detection rates, lowest false positive rates, and lowest customer intervention in the industry. We stop fraud, not customers. See what others … can't at What you'll achieve As a Senior Data Scientist you will develop and implement machine learning models, perform advanced data analysis, and identify patterns and trends to improve the efficiency and usability of our products and services. You will also be responsible for creating insightful reports and dashboards to support data-driven decision-making across … hard problems. Communicate effectively to senior stakeholders. Deliver value end-to-end. Self-serve data engineering and infrastructure as required. Make recommendations on best practice in terms of analysis, machine learning and data science. Have a transformative presence in the team. Develop and implement machine learning models, including feature engineering, model design, training, and deployment. Perform More ❯

and best practices Define and own the data science roadmap, aligning machine learning and analytics initiatives with business and product strategy Architect and deliver end-to-end ML pipelines (from data acquisition to model deployment) in collaboration with data engineering and MLOps teams Design, validate, and deploy machine learning models and advanced analytics solutions that support … efficient across cloud platforms Establish and enforce standards for model reproducibility, monitoring, documentation, and governance Act as a thought leader within the organization, staying current with emerging AI/ML technologies and evaluating their strategic value Qualifications Experience Extensive experience in data science, machine learning, or advanced analytics, ideally in a technical leadership role Proven expertise in Python … and ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn) and experience across NLP, computer vision, and LLMs Strong statistical foundation, including A/B testing, causal inference, and experimental design Proficiency in SQL and working with large-scale, cloud-based datasets Deep understanding of MLOps principles and integrating ML solutions into production environments Demonstrated ability to translate ambiguous business problems into More ❯

Join now if you want to spearhead the delivery of a next-generation data platform, built on a modern Azure-Databricks ecosystem, unlocking the full potential of advanced analytics, machine learning and AI across the business. The Role: Are you a proven data engineer, looking to step into an exciting leadership position? Reporting directly into the head of … under you to success. Key Responsibilities: Shape the strategic roadmap - contribute to the evolution of the bank's data engineering strategy, aligning platform development with business growth. Enable AI & machine learning - ensure the data platform effectively supports advanced analytics, machine learning, and AI use cases Champion data governance - design data architecture that meets the highest standards … quality, and compliance. Mentor excellence - support and guide Databricks users across the business, promoting best practices and enhancing internal capability. Profile: Proven expertise in Databricks & Azure data architecture Advanced machine learning & AI implementation - experience delivering machine learning and AI solutions, ideally within Databricks. Strong data governance knowledge- in-depth knowledge of data governance best practices. Pipeline More ❯

will contribute to both external publications, and Faculty's commercial ambition to build safe AI systems. This is a great opportunity to join a small, high agency team of machine learning researchers and practitioners applying data science and machine learning to business problems in the real world. What you'll be doing Your role will evolve … focus on government and commercial partners. Who we are looking for A proven track record of high-impact AI research, evidenced by top-tier academic publications (ideally in top machine learning or NLP conferences ACL/Neurips, ICML, ICLR, AAAI) or equivalent experience (e.g. within model providers labs). Deep domain knowledge in language models and AI safety … with the ability to contribute well-informed views about the differential value, and tractability, of different parts of the traditional AI Safety research agenda, or other areas of machine learning (e.g. explainability). Practical experience of machine learning, with a focus on areas such as robustness, explainability, or uncertainty estimation. Advanced programming and mathematical skills with More ❯

practices in these areas is essential. Essential Skills: Proficient in Python programming (2+ years' experience) Previous experience in the development and use of Convolution Neural Networks (CNN's) for machine vision and image analysis applications Previous development and fast prototyping experience in at one of following specializations of computer vision or machine learning: Object/face/… tracking Activity Recgnition Camera Calibratin 3D stere, SLAM or Depth estimation from video Proficient in Linux Experience with Docker Experience with large-scale data sets Proficient with open source machine learning platforms such PyTorch or Keras/tensorflow. Ability to develop using rapid prototyping techniques aimed at demonstrating applications quickly in a fast moving environment. Agile/DevOps … Integration/Continuous Delivery practices. Good written and excellent spoken communication skills as well as attention to detail. Desired Skills: • MSc or PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field. Python experience Experience shipping computer vision solutions or fast prototyping and development Strong grasp of latest cutting edge research in object detection More ❯

to influence not just their engineering roadmap, but how they fundamentally approach solving complex, real-world security challenges with data. You'll work at the intersection of data science, ML infrastructure, and product innovation, leading efforts to build and evolve ML-driven capabilities, while also ensuring the reliability and scalability of their models in production environments. What You'll Do … learning models focused on understanding behaviour patterns and identifying cybersecurity anomalies. Partner with product, engineering, and domain experts to translate strategic goals and customer needs into practical, scalable ML solutions. Drive model development end-to-end, from exploratory analysis, feature design, and prototyping to validation and deployment. Collaborate with platform and infra teams to operationalize models and ship ML … powered features into production. Continuously assess and iterate on production models, balancing long-term ML strategy with tactical improvements. Champion code quality, observability, and resilience within their ML systems through reviews and hands-on contributions. Help shape their internal ML standards and practices, ensuring they stay ahead of industry advancements. Offer technical mentorship and be a thought partner to colleagues More ❯

About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it … s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world … B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university More ❯

About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it … s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world … B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university More ❯

About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it … s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world … B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university More ❯

About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it … s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world … B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university More ❯

About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it … s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world … B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university More ❯

which continues to keep up with the market’s demands. *The Role:* This is a key role within our growing Data Science team, where you'll use cutting-edge machine learning and AI to solve complex business problems. You'll have the autonomy to lead projects from ideation to deployment, directly impacting our business across departments like Marketing … great Company culture * Flexi-time * Your birthday off * Generous staff discount * Healthcare cash plan * And tons more... *Your day-to-day duties and responsibilities will include:* * End-to-end Machine Learning: Lead the design, development, and deployment of machine learning models that solve real-world problems. * Pushing boundaries with AI: We’re continuing to explore applications … stakeholders, enabling data-driven decisions. * Model Management: Own the full lifecycle of deployed models, from monitoring performance and accuracy to identifying opportunities for optimization. * Strategic Impact: Contribute to our machine learning roadmap, helping to define the future of our data science capabilities. * Data Stewardship: Collaborate with the team to ensure data integrity, maintain our BI platform, and optimize More ❯

Are you passionate about delivering real value to an organisation using advanced techniques in data science and machine learning? We are looking for multiple talented senior data scientists for our leading FinTech client. These role presents an opportunity for you to partner with stakeholders across all areas of the business, including marketing, risk, customer services and quants, to … deliver impactful data products using state-of-the-art machine learning technique Key Responsibilities Lead high-impact projects, being a technical thought leader and subject matter expert in classic Machine Learning as well as advanced and generative AI. Explore a variety of data from structured to unstructured data spanning client, operational and financial domains to identify … insight generation systems. Work with stakeholders from across the business to turn business problems into data science solutions. Mentor junior members of the department, helping them grow Experience Implementing machine learning in production using in-house or third-party data science platforms Building machine learning models; experience in Natural Language Processing, Time-Series prediction, Neural Networks More ❯