1 to 25 of 748 Machine Learning Jobs in the South East

Job Title: Low-Level C++ Engineer (GPU & ML Optimization) Location: London, UK About the Client: We are partnering with an exciting, disruptive technology company at the forefront of machine learning (ML) and high-performance GPU computing. This innovative firm is leveraging cutting-edge GPU technology to optimize machine … learning algorithms and computational models, powering the next wave of AI and data-driven applications. Their mission is to drive performance optimization in ML and AI workloads, transforming industries such as autonomous vehicles, healthcare, and immersive gaming experiences. This is a fantastic opportunity for someone passionate about low-level … systems programming and ML optimization to be part of a team that is reshaping the future of technology. The Role: We are seeking a Low-Level C++ Engineer to join their team and work directly on optimizing GPU performance for machine learning (ML) workloads. As part of the More ❯

ML OPs Engineer Luton/Hybrid COMPANY When it comes to innovation and achievement there are few organisations with a better track record. Join us and you’ll be able to play a big part in the success of our highly successful, fast-paced business that opens up Europe so … over 80 million passengers a year, we employ over 13,000 people. Its big-scale stuff and we’re still growing. JOB PURPOSE The ML Ops Engineer acts as the backbone of machine learning operations, bridging the gap between research and production. They collaborate with teams across the … solutions and work with engineers to maintain optimal performance in production environments. KEY SKILLS REQUIRED To excel as a Machine Learning Operations (ML Ops) Engineer, candidates must possess a unique blend of technical expertise, problem-solving capabilities, and collaborative skills. This role requires proficiency in managing machine More ❯

to help take cutting-edge approaches and turn them into performant and robust solutions for our customers' problems. Your responsibilities include: Creating AI/ML solutions for signal processing, geospatial data modelling, image processing and high-fidelity simulations of physical systems. Collaborating with colleagues across the team (Product Managers, Machine Learning Scientists, Machine Learning Software Engineers). Maintaining a good working knowledge of state-of-the-art ML methods, software tools, and implementation methods. Working closely with platform-engineers to provide ideas and advice on ML techniques. Evaluating scientific concepts for viability of implementation. Ensuring scientific … delivery process. Writing maintainable production-code and promoting best practices for code quality. Attending client meetings as required. Delivering training to customers on core ML concepts and Mind Foundry products and solutions. Attending appropriate scientific conferences and events. Mentoring colleagues in research or Machine Learning/Data Science. More ❯

Machine Learning Engineer - Java, Python, scikit-learn, TensorFlow, PyTorch AWS, Machine Learning, Artificial intelligence (Hybrid - 3 days in the office -mon, weds, Friday) Machine Learning Engineer:- You will be joining a fast-growing, research-driven company building an artificial intelligence using novel machine learning techniques. My client is revolutionising their industry with a track record of building things that others have ruled out as impossible. The Machine Learning Engineer will join a very bright, talented team of engineers with the guidance of technologists who have help build up some … Learning Engineer : 2yrs+ in a commercial Machine Learning role Solid experience of Java and Python A strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Familiarity with cloud platforms (AWS) and Kubernetes for deploying A degree in Computer Science, Engineering, or a More ❯

creator ecosystem, and developing models for strategic content valuation. Multi-objective balancing and long term measurement. We rely extensively on state-of-the-art ML around personalization, deep learning, bandits, causal inference, optimization, ranking and recommendation. AI - Our AI teams are spearheading the research and development, presenting innovations at … As a Principal Machine Learning Engineer in the ShareChat AI team, you will play a pivotal role in defining and executing the ML strategy across key business domains. You will serve as one of the senior-most individual contributors in machine learning, with opportunities to lead … and deploying large-scale machine learning models using TensorFlow, PyTorch, or similar frameworks. Systems Thinking: Deep experience in designing, managing, and productionizing ML pipelines, handling end-to-end machine learning systems, including data engineering, model training, and real-time inference. Domain Mastery: Specialization in large-scale More ❯

Role: Senior Machine Learning Engineer Location: Abu Dhabi, UAE (Full Relocation provided) Company: AI71 About Us AI71 is an applied research team dedicated to building responsible and impactful AI agents that empower knowledge workers. We work closely with our industry partners and leverage cutting-edge research from the … Technology Innovation Institute (TII) to develop AI products that drive transformative change. Senior Machine Learning Engineer Are you an experienced Senior Machine Learning Engineer with a passion for AI? Do you have a proven track record of harnessing the power of data, developing advanced algorithms, and … unique opportunity for you to play a pivotal role in shaping AI-driven solutions that have the potential to redefine industries. As a Senior Machine Learning Engineer at AI71, you’ll be responsible for developing, deploying, and optimizing machine learning models and systems that power our More ❯

Learning Engineer | £50-70K | Hybrid (London) Our growing team is seeking an experienced Machine Learning Engineer to develop and deploy ML solutions that power our products. The Role: As a Machine Learning Engineer, you'll be responsible for designing, building, and deploying machine learning models and systems in production. You'll work at the intersection of data science and software engineering, translating ML algorithms into scalable production systems on AWS. Key Responsibilities: Design, develop, and deploy machine learning models into production Build scalable ML pipelines and infrastructure on AWS … Implement and optimize LLM-based solutions Collaborate with data scientists and software engineers to productionize ML models Ensure ML systems meet performance, reliability, and scalability requirements Contribute to continuous improvement of ML practices and infrastructure Requirements: 2-3 years of experience in machine learning engineering or related roles More ❯

financial services, healthtech, and telecom, and a $90B+ market in sight, we're scaling fast in 2025 and beyond. 🔍 The Role As a Senior Machine Learning Engineer at Synthesized, you will work alongside machine learning and statistics researchers from top UK universities, as well as world … class software engineers. You will be responsible for developing advanced machine learning techniques and applying them at scale across our projects. Regular interaction with customers will be a key part of your role. You should be driven by a desire to tackle the most important challenges and achieve … learning and meta-learning. Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Extend existing ML libraries and frameworks 🌱 About You Good knowledge of probability, statistics and algorithms 3+ years of experience in creating high-performance implementations of machine learning More ❯

turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. The Senior Machine Learning Engineer is responsible for developing, testing and maintaining applied data science solutions and machine learning pipelines powering scalable content personalisation … and mentorship to junior members of the engineering team. Participates in code reviews as necessary. What you'll bring: You are a very confident ML Engineer with cloud development experience (AWS/GCP/Azure) - this is a must. Proven ability to refactor and write performant, secure and clean code. … PhD in related subjects. Extensive machine learning research background and experiences. Academic publications in machine learning related conferences or journals. ML product development experiences for content discovery on large scale customer-facing clients/devices. Team overview: Global Product We're the Global Product. We're More ❯

partners to develop your career and the solutions we deliver for our clients. In this role you will: Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics. Understand business requirements and support the development of business cases. Run discovery analytics … to identify new and innovative opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future business problems. Consult on complex … analyses and advanced machine learning methods. Communicate and provide guidance to senior client leadership and teams. Contribute data science expertise to new sales activities. Shape DS Strategy and the delivery of DS solutions. Operate across multiple industries and functions. Develop others by bringing your unique knowledge and skillsets More ❯

Machine Learning Engineer - Health Tech Start Up We are seeking a talented and experienced Machine Learning Engineer to join a a rapidly expanding health-tech start-up, who are revolutionary within their field right now. As a Machine Learning Engineer, you will play a … in architecting, building, testing, and delivering a new and improved running engine that generates adaptive training plans for tens of thousands of active users. Machine Learning Engineer Skills: 3+ years experience in a similar role Demonstrable experience in cloud (ideally AWS) Strong Python Programming A deep understanding of … designing and implementing complex algorithms, data science and machine learning Confident in working in a fast paced environment and looking to take ownership over features Machine Learning Engineer Benefits: Flexible working Private health insurance Regular salary reviews Pension scheme Brand new Macbook, a running watch of More ❯

projects, as evidenced by widely used open-source libraries, major product launches, or impactful publications (e.g., NeurIPS, ICML, ICLR, or Nature). Skilled in ML development: They write robust, maintainable ML code, have proficiency in version control and code review systems, and are capable of producing high-quality prototypes and … They have experience running models on cloud hardware and parallelizing data and models across accelerators. Data engineering capabilities: The candidate is experienced in building ML data pipelines for training and evaluating deep learning models, including raw data analysis, dataset management, and scalable pipeline construction. Passion for optimization: They possess … in-depth knowledge of ML libraries, hardware interactions, and optimization techniques for model training, inference speed, and validation metrics performance. Mission-driven and curious: Motivated by the opportunity to make a positive global impact, they approach problems with relentless curiosity and adaptability. Adaptability in dynamic environments: They thrive in fast More ❯

Specialists, and we’re hoping it’s you! In this role, you’ll play a leading role in helping both customers with their ML validation challenges and in helping drive our product forward with insights on how to build the best validation solutions for high-stakes machine vision … problems. The specific focus of this position is on ML-based computer vision in high-stakes applications in Aviation, Mobility, Robotics and Edge Devices. The role has significant customer & user-facing elements working on real world problems to help ML teams (R&D and Product within other organizations) improve the … and others. Additional beneficial experience includes: Familiarity with best practice in Machine Learning workflows and MLOps tools. Technical experience in developing non-ML solutions in the Aviation, Mobility, Edge Devices, and/or Robotics industries. At a personal level we’re also looking for some who is: Passionate More ❯

Machine Learning Engineer – London – Exciting Early-Stage Start-Up Are you looking for you next Machine Learning Engineering role? Do you want to be a part of an exciting and hard-working team? This may be the position for you! This Machine Learning Engineer … a small and high performing team as well as the capability to work well independently. You should be driven to design and build elite machine learning and computer vision software solutions. Ideally you should have: A solid academic background, preferably from a leading University with high grades in … Computer Science or a STEM subject 2+ years commercial experience as a Machine Learning Engineer Motivated about joining an early-stage start-up Excellent communication and collaboration abilities Familiarity with modern frameworks and languages (e.g., React, Vue, Golang, iOS, Android) is a plus, but not required What you More ❯

Senior Machine Learning Engineer London (Hybrid) Very Competitive Salary, Bonus, Equity Our client, an innovative and rapidly expanding scale-up looking for a talented Machine Learning Engineer to join their team in London. This is an exciting opportunity to work on transformative AI-driven products in … a dynamic environment backed by significant investment. Key Responsibilities: Develop and deploy machine learning models for real-world applications. … Collaborate with cross-functional teams to define product requirements and integrate models into production systems. Work with large datasets to build scalable and efficient ML solutions. Conduct experiments, evaluate models, and continuously improve performance. Requirements: Education : BSc, MSc, or PhD in Computer Science, AI, Mathematics, or related field from a More ❯

Would you thrive in a fast-scaling business, solving novel problems in collaborative teams? Are you interested in developing machine learning products from conception to deployment? If so, you could be the person we are searching for. We are an IoT innovator working to scale our product deployments … passionate about developing technology that will change paradigms and contribute to a sustainable future. We are building Virtual Energy Infrastructure using our world-leading machine learning algorithms. We’re looking for a Machine Learning Research Engineer to work with us in our Data Science and AI … and any legal or ethical considerations – and then taking these products from conception to deployment. This will require strong software engineering expertise and excellent machine learning proficiency. The ideal candidate brings not just technical skills, but an intellectual curiosity and eagerness to expand their knowledge across diverse technical More ❯

Team who will accelerate the shaping and delivery of our Data & Analytics Agenda. The Machine Learning and AI Engineering Lead will oversee ML and AI solution development and deployment as a capability served across the end-to-end Data & Analytics solution portfolio. The role integral to the organization … drive innovation and efficiency across the organisation. The role will work closely with the Data Science Led to develop and execute an AI and ML roadmap aligned with business goals and requirements. What will be your key responsibilities? Serve as the technical lead for Generative AI and machine learning model deployment within RC D&A. Collaborate with the Data Science team to design, prototype and build next generation ML and AI products and accelerators. Design, architect and review technical architecture for data science, machine learning and AI solutions and provide feedback for optimal implementation. Develop and More ❯

Machine Learning Engineer | Research Platform: We are a tier 1 supplier for a well-known buy-side quant firm on the lookout for a Machine Learning Engineer (£475,000-£515,000) who is happy to work at the interface of cutting edge Machine Learning … the potential for advanced algorithms as the client scales. Key Competencies: The ideal candidate would have hands-on experience with real-time, low-latency ML pipelines in high-performance environments. They should possess strong engineering skills, including expertise in Python, CUDA, or C++. They should also have knowledge of machine … Additionally, the candidate should be proficient in GPU programming for training and inference acceleration. They should also have experience with distributed training for scaling ML workloads, utilizing tools like Horovod. If this sounds interesting and applicable to your skillset, please apply or email a.cahill@gcstechtalent.com More ❯

be hands-on, working with our Senior Staff Engineer to provide technical leadership to the team. You'll have great technical understanding of various machine learning approaches, which would include regression methods, probabilistic pricing models, tree based gradient boosting approaches, information theory, neural networks, transfer learning, etc. … a team of data scientists. Ensuring they achieve their growth goals and deliver anticipated business outcomes. Envision and support the team in implementing new ML solutions to address and prescribe for identified business priorities. Engage and build strong relationships with stakeholders across the group to identify new opportunities, communicate progress … skills to lead, motivate and grow a diverse team who are geographically dispersed. Comfortable using a multi-platform stack to deliver products (Databricks, Azure ML Studio, Azure and Snowflake, SageMaker, AWS). Ability to take ownership of a broad data product-set and drive forward the delivery of new products More ❯

Machine Learning Researcher - LLM/VLM Are you a PhD-educated Machine Learning Researcher looking for a new opportunity? If so, our client, a global consumer electronics company, is actively expanding their team. This role is based at one of their flagship AI centres in Cambridge … As a Machine Learning Researcher, you will: Work on on-device LLMs and VLMs, as well as adaptive inference methods and mobile ML systems. Conduct cutting-edge research and translate findings into practical applications, contributing to the commercialisation of AI across millions of devices. Design and develop groundbreaking … Machine Learning Researcher role, you must have: A PhD in Natural Language Processing, AI, Electrical Engineering, or a related field. Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. Strong programming skills in C++, C, or Python. Experience working with embedded or mobile devices. Ideally, 2+ years More ❯

Machine Learning Researcher - LLM/VLM Are you a PhD-educated Machine Learning Researcher looking for a new opportunity? If so, our client, a global consumer electronics company, is actively expanding their team. This role is based at one of their flagship AI centres in Cambridge … As a Machine Learning Researcher, you will: Work on on-device LLMs and VLMs, as well as adaptive inference methods and mobile ML systems. Conduct cutting-edge research and translate findings into practical applications, contributing to the commercialisation of AI across millions of devices. Design and develop groundbreaking … Machine Learning Researcher role, you must have: A PhD in Natural Language Processing, AI, Electrical Engineering, or a related field. Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. Strong programming skills in C++, C, or Python. Experience working with embedded or mobile devices. Ideally, 2+ years More ❯

Engineering, Mathematics, Statistics, or a related field. Strong foundational knowledge in machine learning and artificial intelligence. First-author publications in top-tier ML/AI conferences or journals (e.g., CVPR, ICCV, NeurIPS, ICML, ICLR, ICASSP, INTERSPEECH, IEEE TPAMI, IEEE IoT, IEEE TNNLS, JMLR, or similar). Hands-on … alignment) Model compression techniques (e.g., quantization, pruning, knowledge distillation) Proven success in: Software development using Python and/or C/C++ Working with ML frameworks such as PyTorch and/or TensorFlow Writing clear and thorough documentation Using standard software engineering tools and practices (e.g., Git) Strong communication and … with multi-task learning and deception detection Demonstrated ability to build sophisticated training and inference pipelines Knowledge of embedded and/or distributed ML tools and methodologies Experience in optimizing and profiling AI pipelines for performance Contributions to open-source machine learning libraries If this sounds interesting More ❯

What the Job Involves As a Machine Learning Scientist, your primary role would be to design and implement advanced machine learning techniques to analyze DNA and genetic data. Responsibilities: Analyze Genetic Data : Work with DNA and genetic information to uncover patterns and insights that could lead … data. Alternatively, expertise in using transformers for biological data, such as DNA, protein, or evolutionary-scale modelling. Proficiency in Python and at least one ML platform (e.g., PyTorch, TensorFlow). Experience with Graph ML/GNN OR Single Cell Transcriptomics Strong understanding of transformers and their applications in biomedical research. … Knowledge of lab-in-the-loop frameworks and integration of ML techniques with experimental data. More ❯

The Role : I am working with an amazing start-up specialising in the consumer fraud risk intelligence who are seeking a Senior Machine Learning Engineer. You will work along the end-to-end machine learning lifecycle, focusing on data engineering and maintaining real-time data pipelines. … Your responsibilities will include developing and maintaining ETL processes, designing and implementing machine learning algorithms, and deploying and monitoring models in production environments The Ideal Candidate Education & Experience: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 7+ years of professional experience … Experience with ETL processes, Python, and SQL. Familiarity with big data technologies like Apache Hadoop and Apache Spark. MLOps & Deployment: Experience deploying and maintaining ML inference pipelines. Proficiency with Docker and Kubernetes. Familiarity with AWS cloud platform. The Perfect Candidate Also Has : Programming Languages: Experience with Node.js, JavaScript (JS), and More ❯

Role Overview We are seeking a Machine Learning (ML) Engineer to join our expanding Data & AI team, focusing on delivering AI solutions for public sector and enterprise clients. The ML Engineer will collaborate with data scientists, architects, software engineers, business analysts, and project managers to develop innovative AI … processing, and storage for AI and analytics applications. Design and develop AI agents for creating intelligent autonomous systems. Optimize performance, scalability, and reliability of ML solutions using best practices. Monitor and troubleshoot solutions with Azure AI Metrics Advisor, Azure Application Insights, and Azure Monitor. Engage with stakeholders to understand needs … and provide data-driven insights. Stay updated with emerging AI and ML trends and technologies, including Agentic AI, RAG, and Image Generation. About you At least 3 years of experience in machine learning, data science, or software development. Proficiency in Python, C#, and other relevant programming languages. Experience More ❯