1 to 25 of 909 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 ❯

planned, and you will be working in an innovative and collaborative environment with your international peers and colleagues. As the Machine Learning (ML) Engineer II, you will be responsible for developing AI Labs' machine learning platform and creating production-ready AI-based solutions for key impact … libraries according to the technology and product roadmaps. You will work collaboratively with application engineering, product, and business stakeholders to develop principled and innovative ML solutions from research to POC to production. You will also serve as an expert within Parexel, driving AI education and providing expert guidance to other … parts of the business. Key Accountabilities: ML and Natural Language Processing (NLP) Technology: • Leverage proprietary technology stack to build custom machine learning models • Design, implement, and document new ML/NLP modeling techniques and strategies • Develop Back-end/server-side software to support AI solution development and 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) 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 of the best known technology companies today. You will … Learning Engineer : 2yrs+ in a commercial Machine Learning role Solid experience of Java and ideally 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 ❯

Snapshot Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and … to discuss this further throughout the interview process. The Role In this role, you will work at the cutting edge of power systems and machine learning within a dedicated, impactful team of engineers and scientists at Google DeepMind. You will be instrumental in developing and deploying innovative AI … entire lifecycle of our projects, from foundational modeling of power system components and data generation to the implementation, testing, and real-world deployment of machine learning models. Key responsibilities: Develop and maintain accurate computational models of electrical power grid components (e.g., transmission lines, transformers, generators, switches) and their More ❯

We are seeking a highly skilled and motivated Senior Machine Learning Engineer to join this team in London. This role offers a unique opportunity to engage in cutting-edge research while applying your engineering expertise to … develop and deploy machine learning solutions. Key Responsibilities: Conduct and publish advanced machine learning research. Design, develop, and deploy scalable ML models with cross-functional teams. Lead implementation of ML algorithms, ensuring code quality and optimization. Oversee the ML lifecycle from data collection to deployment. Stay … informed on ML advancements to drive team innovation. Qualifications: Advanced degree (Ph.D. preferred) in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Proven experience in conducting research and publishing in top-tier journals or conferences. Strong programming skills in languages such as Python, C++, or Java 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 ❯

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 ❯

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 ❯

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 ❯

and oversee the development of advanced machine learning models to accelerate drug discovery and therapeutic solutions Shape the strategic direction of the ML team, driving innovation in AI-powered drug development Collaborate with senior leadership to align ML research with company goals and objectives Guide the development of … with a focus on LLMs/genAI, optimisation, or sequential learning Strong background in Python, deep learning frameworks (TensorFlow, PyTorch, Jax), and ML model development PhD in Computer Science, Machine Learning, Applied Mathematics, or related field, or equivalent experience A history of successful scientific publications and … contributions to top ML conferences (NeurIPS, ICML) Excellent communication skills, with the ability to represent technical expertise to both technical and non-technical stakeholders If you fit the bill and are interested, please apply with an updated CV More ❯

advance the organization’s goals. Plan, build, and evaluate machine learning pipelines for small molecule drug discovery, including the development of novel ML architectures. Train and assess ML-based interatomic potentials and integrate them with biomolecular simulation tools. Collaborate closely with team members in biomolecular simulation and computational … in drug discovery. Requirements PhD or postdoctoral experience in computational chemistry, molecular physics/engineering, computer science, or a related discipline with a strong ML for science focus; OR a Master’s degree plus 3+ years of relevant industry experience. Demonstrated track record in developing machine learning models … and graph neural networks for 3D atomic systems. Experience working with machine-learned potential energy surfaces. Proficiency with ML frameworks such as PyTorch or JAX. Strong background in scientific programming using Python. Excellent communication skills in English. Experience working in interdisciplinary scientific environments. Desirable Skills Experience curating quantum mechanics 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 ❯

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 ❯

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 ❯

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 ❯

you’ll lead impactful projects using cutting-edge computer vision and deep learning at scale—from professional organizations to grassroots teams. Key Responsibilities ML at Scale : Design, build, and deploy machine learning models and systems for both cloud and edge environments, supporting thousands of concurrent sports events. … business, aligning with quarterly team objectives. Collaborative Development : Work cross-functionally with product and engineering teams to deliver high-quality results through incremental improvements. ML Lifecycle Optimization : Enhance team capabilities across the entire ML lifecycle, including data annotation, model training, deployment, and monitoring. Location and Flexibility This role is open … Proficiency with some of the following: Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, AWS . Demonstrated success in building and maintaining production-scale AI/ML systems . A track record of collaborating with product teams to deliver user-impactful solutions. Preferred Qualifications Experience using AI/ML in the sports More ❯

Job Title: Machine Learning & Data Scientist Location: Reading, UK (Hybrid) Salary: Up to £80,000 per annum About Us: We are dedicated to enhancing the global growth and resilience of renewable energy transmission by delivering intelligent, autonomous robotic monitoring solutions for high-voltage assets. Our mission focuses on … supporting power transmission operators worldwide with advanced technologies. Role Overview: We are seeking a Machine Learning & Data Scientist to join our dynamic team. The ideal candidate will have experience in developing multimodal models and a background in condition monitoring, particularly concerning high-voltage assets. This role offers the … opportunity to contribute significantly to the development of AI-powered analytics for autonomous robotic systems. Key Responsibilities: Develop and implement machine learning algorithms, focusing on multimodal data integration. Design and deploy predictive models for condition monitoring of high-voltage assets. Collaborate with cross-functional teams to integrate AI More ❯

90K We are looking for a skilled Sr. Data Scientist. We are seeking a Data Scientist with expertise in Databricks, SQL, cloud platforms, and machine learning to develop and implement advanced data models, algorithms, and solutions to complex business problems. This role requires proficiency in the Databricks ecosystem … Should have 5+ years of experience as a Data Scientist. Develop and implement data models and algorithms to solve complex business problems. Experience in machine learning models and algorithms using Databricks, Neo4j, Python, R, and big data technologies. Work with cloud platforms (AWS, Azure, Google Cloud) to design … recommendations. Develop clear and concise reports and visualizations to communicate findings to both technical and non-technical stakeholders. Stay current with emerging trends in machine learning, big data technologies, and cloud computing to continuously improve our solutions. Qualifications: Master's or Ph.D. degree in Computer Science, Data Science More ❯