301 to 325 of 1,245 Machine Learning Jobs

Science team (currently 5, including 2 senior members), helping to shape technical direction while mentoring more junior colleagues. Key responsibilities include: Building and optimising machine learning and LLM-based models Fine-tuning and deploying models within production environments Working on conversational AI systems, including NLP and data interaction … solve complex, real-world problems Supporting the evolution of products tailored to financial and trading use cases Your Skills & Experience Strong Python and machine learning fundamentals Solid grounding in mathematics and statistics Experience with LLMs, NLP, or deep learning models Exposure to fine-tuning, model optimisation ...

mathematics, physics, engineering, or a related field (e.g., BSc/MSc/PhD). Solid understanding of statistics, linear algebra, probability, optimisation, and machine learning techniques. Experience with algorithm development, numerical methods, or physical simulation. Proficiency in at least one programming language commonly used for scientific computing … collaborative software development. Ability to clearly explain complex technical concepts, both verbally and in writing, to technical and non-technical audiences. Desirable Experience Developing machine learning models, especially in the context of reinforcement learning or computer vision. Robotics or autonomous systems (e.g., path-planning problems ...

ROLE As a Data Engineer you will take ownership of the company's core data pipelines, transforming large-scale event data into reliable, ML-ready datasets that power real-time decisioning and analytics across the business. Specifically, you can expect to be involved in the following: Design and manage data … that prepare data for machine learning and analytics use cases. Restructure/improve existing datasets to ensure they are reliable, performant and ML-ready. Work closely with Data Science and Platform Engineering to productionise models and improve data foundations. Proven ability to work with high-volume event data ...

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 ...

senior stakeholders and executive leadership to communicate governance strategy, risks, and opportunities. Essential Requirements of the AI Governance Lead: • Proven experience leading AI or ML governance within insurance or financial services environments. • Strong background in data science, machine learning, or AI, with hands-on experience earlier in career. … management skills, with experience operating at senior or executive level. • Understanding of actuarial principles and insurance analytics is highly desirable. • Relevant certifications in AI, machine learning, or data science would be advantageous. To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat ...

stakeholders and executive leadership to communicate governance strategy, risks, and opportunities. Essential Requirements of the Head of AI Governance: • Proven experience leading AI or ML governance within insurance or financial services environments. • Strong background in data science, machine learning, or AI, with hands-on experience earlier in career. … management skills, with experience operating at senior or executive level. • Understanding of actuarial principles and insurance analytics is highly desirable. • Relevant certifications in AI, machine learning, or data science would be advantageous. To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat ...

Lead Data Scientist, you will blend hands-on technical work with consulting, stakeholder management and practice-building. Identifying high-impact Data Science, Machine Learning, AI and simulation opportunities on client engagements Scoping and shaping problems, designing experiments and roadmaps, and then building and deploying models … Translating complex technical concepts into clear, compelling narratives for non-technical senior stakeholders Coaching and mentoring consultants to build their capabilities in DS/ML/AI and modern analytics YOUR SKILLS & EXPERIENCE Strong background in Data Science, Machine Learning, AI, simulation or advanced analytics, with clear examples ...

Client Travel Building models is one thing. Getting them to run reliably on real hardware is where it gets interesting. You’ll take advanced ML models and make them work in constrained, real-world environments — often on edge devices where compute, power and latency are all limited. This is applied … ML engineering: Deploying models onto embedded/edge hardware Optimising inference (TensorRT, quantisation, compression) Working closely with customers to integrate into real systems The work is hands-on, varied and close to deployment — not stuck in experimentation. You’ll likely bring: Strong experience with PyTorch/TensorFlow Experience deploying models ...

Client Travel Building models is one thing. Getting them to run reliably on real hardware is where it gets interesting. You’ll take advanced ML models and make them work in constrained, real-world environments — often on edge devices where compute, power and latency are all limited. This is applied … ML engineering: Deploying models onto embedded/edge hardware Optimising inference (TensorRT, quantisation, compression) Working closely with customers to integrate into real systems The work is hands-on, varied and close to deployment — not stuck in experimentation. You’ll likely bring: Strong experience with PyTorch/TensorFlow Experience deploying models ...

Client Travel Building models is one thing. Getting them to run reliably on real hardware is where it gets interesting. You’ll take advanced ML models and make them work in constrained, real-world environments — often on edge devices where compute, power and latency are all limited. This is applied … ML engineering: Deploying models onto embedded/edge hardware Optimising inference (TensorRT, quantisation, compression) Working closely with customers to integrate into real systems The work is hands-on, varied and close to deployment — not stuck in experimentation. You’ll likely bring: Strong experience with PyTorch/TensorFlow Experience deploying models ...

Integration Engineer, Machine Learning, Hybrid, COR7508 Are you passionate about AI and excited by the opportunity to shape how it transforms real-world products? Join a forward-thinking team where you'll champion AI adoption and help drive measurable business impact. The Role As an AI Integration Engineer ...

style environment, using cutting-edge technology to analyze terabytes of data and support high-impact investment decisions. Responsibilities: Develop, implement, and validate statistical and machine learning models for analysing non-performing loan portfolios. Collaborate with cross-functional teams—including credit, collections, and data engineering—to translate business objectives … portfolios. Clearly communicate model results, insights, and recommendations to stakeholders, including both technical and non-technical audiences. Stay current with advances in statistical modelling, machine learning, and data science, continuously evaluating and integrating new techniques and tools. Requirements: University degree in a STEM field (e.g., Mathematics, Statistics, Computer ...

hiring a Data Scientist to help build and enhance machine learning models across credit, fraud and pricing. The opportunity Build and improve ML models for decisioning and analytics Support model deployment and performance monitoring Partner with stakeholders to deliver data-driven insights Support the development and implementation … roadmap Your background c.1-2 years of experience in Data Science within financial services or fintech Strong Python and SQL skills Experience applying machine learning in a commercial environment Ability to communicate insights clearly to non-technical stakeholders Ideally exposure to modelling in credit, fraud or pricing. ...

collaborative Data Science team responsible for developing, optimising, and deploying models that power conversational data products. Your work will include: Building and fine-tuning machine learning and LLM-based models for real-time data interaction Designing and improving NLP and data-driven pipelines across multiple products Applying strong … learning development A solid mathematical foundation and the ability to reason about quant-style problems Experience working with NLP models, LLMs, and modern ML techniques Exposure to financial data, trading concepts, or quantitative analytics Experience with model training, fine tuning, and evaluation Familiarity with cloud deployment (AWS preferred ...

sectors and specialist areas. Depending on your background and experience, you could take on the role of: BI Developer Data Engineer Data Scientist Machine learning Engineer Robotic Process Automation Consultant Within the FDM Skills Lab you’ll receive upskilling in: Business intelligence and advanced analytics Diverse data modelling … engineering and warehousing Automation and machine learning Modern data platforms and tools used to forecast, analyse and unlock business value This structured learning is designed to complement your prior experience, helping you gain momentum and confidence while staying aligned with the current market. There are progression opportunities ...

sectors and specialist areas. Depending on your background and experience, you could take on the role of: BI Developer Data Engineer Data Scientist Machine learning Engineer Robotic Process Automation Consultant Within the FDM Skills Lab you’ll receive upskilling in: Business intelligence and advanced analytics Diverse data modelling … engineering and warehousing Automation and machine learning Modern data platforms and tools used to forecast, analyse and unlock business value This structured learning is designed to complement your prior experience, helping you gain momentum and confidence while staying aligned with the current market. There are progression opportunities ...

environment A business passionate about solving complex problems and delivering innovative, high-quality solutions that make a real impact An organisation embracing AI and machine learning to create smarter, faster, and more effective solutions They are looking for top-tier talent, including graduates from Russell Group universities, ready … innovation. You will apply AI techniques, explore new technologies, and deliver intelligent solutions that set the standard for the industry. If you enjoy learning, creativity, and making an impact, this role is for you. What the Successful Software Developer can expect from their duties Full ownership of AI-driven ...

clean, and preprocess datasets for analysis and modeling Assist in maintaining and updating data pipelines and datasets Support data scientists in building and testing machine learning models Perform basic data analysis and generate reports Create and maintain dashboards and visualizations Ensure data accuracy, integrity, and proper documentation Assist … Amazon Web Services, or Google Cloud Platform Familiarity with data visualization tools (e.g., Power BI, Tableau) Basic knowledge of SQL and databases Exposure to machine learning concepts or tools Understanding of ETL processes and data workflows Skills Data Cleaning & Preparation Basic Data Analysis Data Visualization Programming (Python/ ...

Responsibilities: Design and deliver data science solutions in support of national security operations. Develop and optimise pipelines to process large, complex datasets. Apply machine learning and statistical methods to generate actionable insight. Produce clear visualisations to communicate results to stakeholders. Work within agile teams to deliver robust, scalable … deployments and integration into live operational environments. Seeking Experience in most of the following: Python or similar scripting languages for data exploration and preparation. Machine learning and statistical methods, including model validation. Data analytics and visualisation techniques. Processing large datasets using batch or streaming tools such as Apache ...

Inference Group is a fast-growing data and AI consultancy dedicated to helping organisations unlock their true potential through the transformative power of data, machine learning, and AI. We work with customers worldwide to turn cutting-edge ideas into scalable, operational solutions that enhance human decision-making … deep technical expertise with a practical, delivery-focused mindset. As we grow, we’re looking for like-minded people who are excited by lifelong learning, eager to challenge existing ways of working, and motivated to make a real impact in an AI-driven world. Role Overview We’re looking ...

closely with multidisciplinary experts across AI, cyber security and critical systems. It s a highly applied research role suited to someone excited by combining machine learning, software engineering and cyber security to solve complex real-world resilience challenges with national importance. Your Profile We re looking … technically strong and collaborative research engineer with a solid grounding in AI, machine learning, cyber or information security, computer science, engineering, or a related field, ideally educated to Master s level or with equivalent experience. The ideal candidate will bring hands-on experience building LLM-powered agentic ...

must have written production grade code in C#, C++ or Python for application development (not web apps or embedded) and an interest in pushing Machine Learning over time. Crucially we are looking for experience with AWS Cloud/Distributed Computing to be considered. Your new role In this … design patterns and modern engineering principles and clear communication/interpersonal skills are a must for working closely with internal teams. Experience with AWS, Machine Learning models, agentic AI pipelines would be beneficial. What you'll get in return The company offers 25 days' holiday plus bank holidays ...

using Computer Vision so an understanding of how this works is beneficial but not essential. In this role, you will: Deliver at scale: deploy ML models across cloud and edge platforms, scaling to thousands of simultaneous matches. Lead impactful projects: Own and drive initiatives that directly enhance the experience …/or C++, plus proficiency with Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, and AWS. MLOps. Product-minded approach: Demonstrated success delivering AI/ML products in collaboration with cross-functional product teams. Scalable systems expertise: Solid track record building and managing AI/ML systems in production environments at scale. ...

software solutions. What Youll Do Design, develop, and maintain high-quality C# applications across our platform Work on AI-enabled solutions and integrate machine learning capabilities where relevant Ensure applications are secure by design and adhere to best practices in cybersecurity Collaborate with cross-functional teams including product … Looking For Essential: Strong experience with C#/.NET development Solid understanding of software security principles and secure coding practices Experience with AI/Machine Learning frameworks and integrating them into applications Good knowledge of databases, API design, and cloud technologies Excellent problem-solving and communication skills Desirable ...

client within the Aviation Sector who are looking for a number of Data Scientists to join their team for an AI/Machine Learning Programme, working on Maintenance, Repair and Overhaul, improving systems and looking at automation. The project is estimated to last over two years, and will … Data Consultant. You will need to have worked on challenging optimisation problems in a corporate operations environment. Required Skills & Experience Proficiency in Python and ML frameworks (TensorFlow, PyTorch). Strong statistical and analytical skills. Experience with a wide range of Data Science techniques (e.g. ML, Optimisation, Simulation, GenAI, etc.). ...