251 to 275 of 539 Machine Learning Jobs in the South East

annotating eukaryotic genomes with transcript structures and other genic features. Your responsibilities will include: Pipeline and workflow development for large-scale genome annotation Software development and automation Integration of machine learning and big data approaches Community engagement to support large collaborative projects Strategic development of the next generation of Ensembls world-class data services As part of this … the future of genome annotation. We are looking for an individual with: Strong expertise in genome annotation, bioinformatics, or computational biology Experience in pipeline development, high-performance computing, or machine learning Leadership experience in managing projects, teams, or large-scale collaborations Excellent communication and stakeholder engagement skills Ensembl Genebuild is part of the Eukaryotic Annotation Team, led by More ❯

Senior Software Engineer, your role is to support the interface between our Science and Core teams, whilst contributing to its improvement How you can make an impact Implement new machine learning services designed by the Science team Review, test, optimise code to reach state of the art performance Deploy to production ensuring no service disruption Debug and maintain … RabbitMQ, Celery, Redis, Memcached) Good knowledge of scientific libraries such as Numpy and Pandas Extensive usage of MongoDB, BigQuery, data visualisation and manipulation tools Experience with designing, training, evaluating machine learning models Familiarity with the main AI frameworks (Pytorch, Tensorflow, scikit-learn) Appreciation of Test Driven Development, SOLID principles and optimisation techniques Interest in DevOps Benefits 25 days More ❯

Job Title: Machine Learning Engineer – Computer Vision Focus Overview: We’re looking for a skilled Machine Learning Engineer to join a growing technology company building cutting-edge solutions for real-world automation. You’ll be part of a small, collaborative team applying computer vision to improve performance, efficiency, and user experience across multiple sectors. This role … for model training and evaluation. Algorithm Tuning: Optimise model performance through experimentation with architectures and hyperparameters. Cross-Functional Collaboration: Work closely with engineers, product managers, and designers to integrate ML solutions into customer-facing applications. Monitoring & Maintenance: Maintain model performance in production, troubleshoot issues, and roll out updates as needed. Research & Innovation: Keep current with advances in ML and CV … new methods to solve business problems. Your Profile: Master’s degree (or equivalent) in Computer Science, Machine Learning, or a related field. 3+ years of experience deploying ML models in production. Proficient in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience working with cloud platforms and containerised deployments (e.g., Docker, Kubernetes). Solid grounding in computer vision More ❯

venture-backed by 8VC + Mosaic, revenue-generating, and have multiple years of runway. Being part of our team means solving interesting problems at the intersection of user experience, machine learning and infrastructure. It also means committing to excellence, learning, and delivering great products to our customers in a high-velocity startup. The role We're looking More ❯

agile and distributed teams Deliver leadership and coaching for a team of senior and junior consultants delivering Supply Chain solutions supporting the customer requirements Be at the forefront of learning new SAP capabilities, working closely with SAP to understand their roadmap Participate and lead responses to Requests for Proposals (RFP) and other pre-sales activities Drive the development and … proficient and have hands-on configuration experience in the configuration of SAP Supply Chain solutions Have a keen interest in the developments being made in Artificial Intelligence (AI) and Machine Learning Additional Information: The role can be based in one of multiple locations throughout the UK, with a mixture of hybrid working and onsite client travel (project dependent More ❯

Experience conducting user research and delivering actionable insights. Familiarity with Agile project delivery and documentation (user stories, acceptance criteria). Working knowledge of industry analytics tools and AI/machine learning applications such as Microsoft CoPilot or generative AI (desirable). Strong communication skills with the ability to explain complex concepts in non-technical terms. PRINCE2 Foundation (desirable More ❯

planning, and global travel operations. What you’ll do: Deliver short-, medium-, and long-term forecasts across passenger demand and commercial impact. Build a next-generation forecasting model , leveraging machine learning, cloud computing, and advanced analytics. Present insight to senior executives, commercial partners, and regulators. Lead scenario planning for events ranging from weather disruptions to macroeconomic shocks. Mentor More ❯

e.g., Google Analytics, Tableau) and leveraging data to drive decisions. Expertise in consumer experience design, with a deep understanding of user journeys, personalization, and omnichannel marketing. Experience with AI, machine learning, or other advanced technologies used in marketing automation and personalization. 10+ years of experience in working closely and collaboratively with globally distributed teams – including in India and … that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. “All aspects of employment at Infosys are based on merit, competence More ❯

Temporal or similar orchestration tools. • Messaging & Streaming: Exposure to RabbitMQ or similar message/streaming broker technologies. • Advanced Technologies: Interest or experience in big data technologies (e.g., HBase, Hadoop), machine learning frameworks (e.g., Spark), and orbit dynamics. Why Join Us? • Innovative Environment: Be part of projects at the cutting edge of space systems and security. • Agile Culture: Work … within agile frameworks that promote continuous learning and adaptation. • Career Growth: Expand your skills in a rapidly expanding business area with complex and interesting challenges. • Collaborative Team: Work with a dynamic and skilled team committed to excellence and innovation. #LI-SB2 #LI-UKA Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in More ❯

optimize systematic, high-frequency trading strategies. Conduct quantitative research to uncover market inefficiencies and improve model robustness. Collaborate with engineering teams to build scalable, low-latency trading systems. Leverage machine learning and statistical methods to enhance signal generation and performance. Mentor junior researchers and foster a culture of technical excellence and collaboration. Who We’re Looking For: Exceptional More ❯

diversified into the Automotive arena for infotainment and telematics. We are now continuing our diversification into IoT based on exciting new Qualcomm SoC based products with next generation AI, Machine learning, computer vision and cellular communication technologies. Qualcomm enables and collaborates across the ecosystem to unlock the vast potential of IoT to truly transform industries through turnkey solutions More ❯

/Cloud Architect certifications. Cyber & Data Security Understanding: An appreciation for the architectural implications of application design and implementation. Modern Data Capabilities: Knowledge of Data Lake, Data Warehouse, and Machine Learning architectures. QA Best Practices: A solid understanding of data quality concepts and practices. Why Join Us? This is your chance to work in a stimulating environment where More ❯

Machine Learning Engineer – Founding Team (Computer Vision/GenAI) Location: Remote-first (UK-based) | Salary: £50k–£70k + Equity A well-backed, early-stage startup is building a cutting-edge AI platform that transforms real-world visitor experiences at physical venues — from cultural institutions to entertainment destinations. Following successful pilots with major partners and recent pre-seed investment … we’re scaling up and looking for a Machine Learning Engineer to lead the development of our core AI systems. What You’ll Work On: Computer Vision: Enable the system to recognise what users are viewing in real time using image embeddings, similarity search (e.g. CLIP, vector search), and traditional CV approaches (e.g. YOLO, MobileNet). LLM & RAG … with the founder on roadmap decisions, help shape technical direction, and grow into a potential leadership role as the team expands. About You: 2–5+ years of experience in ML/CV/GenAI Proficiency in Python, ML frameworks, and cloud-based infrastructure Product-focused mindset with a desire to shape early-stage tech UK-based and open to occasional More ❯

Duration: 6 months (with potential for extension) Rate: Inside IR35- Flexible The Role As an AI Security Architect, youll design and implement enterprise-wide security strategies for AI/ML systems, ensuring alignment with best practices, emerging threats, and regulatory requirements. Youll work hands-on and collaboratively with cross-functional teams to embed security into the entire AI/ML … lifecycle from data pipelines to model deployment. Key Responsibilities Architect and implement security controls for AI/ML systems, data pipelines, and CI/CD processes. Conduct security risk assessments and threat modelling on AI/ML workflows. Drive secure coding practices and integrate security into MLOps/DevOps pipelines. Address challenges such as adversarial attacks, data poisoning, and prompt … AI regulations (EU AI Act, NIST AI RMF, GDPR, etc.). Support adversarial testing, model bias assessments, and trustworthiness evaluations. Contribute to training and awareness initiatives on AI/ML security best practices. Act as a key stakeholder in AI-related incident response and mitigation. Your Profile Essential Experience & Skills Proven experience as a Security Architect with direct focus on More ❯

the next ~6 months and will sponsor transfer visa for team members open to relocation. Plexe is building AI agents that turn simple plain-English prompts into full production ML applications, including data pipelines, models, and more. We're backed by Y Combinator (X25) and were named one of the spring batch's "Top-10 AI agent startups" by Business … deploying LLM-based products from scratch. You'll develop multi-agent systems, build product front-end and backend APIs, and ultimately create AI agents that autonomously handle the entire ML development lifecycle. Responsibilities Product Development: build distributed ML infra, multi-agent systems, observability, client-facing APIs, and more - eventually owning your own product or product lines. Technical Leadership: drive technical … don't have strict "formal" requirements - we just want to see you're awesome and up for the challenge! That might look like this: Must-Have: 3+ yrs building ML/AI systems that served real users. Strong Python; comfort with AWS, Docker, Terraform/CDK, Postgres, etc. Experience with React, FastAPI, or other common web frameworks. An understanding of More ❯

our client in the digital health tech space. This position is based in the UAE, offering an attractive Tax Free salary. Key Responsibilities: Oversee data engineering, data science, and ML teams Implement scalable data pipelines for real-world healthcare data Drive data governance, compliance, and ethical AI practices Collaborate with clinical and business leaders to inform product decisions Define metrics … AI strategy across the product portfolio Requirements: 10 to 15+ years in data/analytics; 5 to 7+ years in leadership Hands-on expertise with modern data stack and ML platforms Experience in working with healthcare datasets (EHR, claims, wearables) Familiarity with international HIPAA, GDPR, and health data standards Strong stakeholder management in high-growth settings Degree in Data Science More ❯

at speed and scale. You’ll lead the design and implementation of software systems that run distributed, low-latency inference across clusters. You’ll work closely with hardware and ML teams to optimise every layer of the stack—from model representation and execution to data movement and scheduling. Whether it’s through compiler techniques, systems-level tuning, or custom runtime … worked in HFT, large-scale scientific compute, or AI infrastructure at serious scale, we’d love to talk. Responsibilities Design and build high-performance systems for running AI/ML workloads across distributed compute clusters Optimise for ultra-low latency and real-time inference at scale—profiling, tuning, and rewriting critical systems as needed Identify and resolve performance bottlenecks across … execution paths, and memory layouts using tools like LLVM or MLIR Work with hardware teams to ensure the software stack fully leverages the capabilities of our OTPU architecture Extend ML frameworks (e.g. PyTorch, ONNX, OpenXLA) to better support performance-critical inference paths Lead design reviews, mentor engineers, and promote best practices in HPC and performance engineering Stay on the frontier More ❯

Software Engineer - Artificial Intelligence/Automation London - mostly remote £50-70,000 Join us in building cutting edge AI applications, unlocking the full potential of AI/ML modelling. It's new, it's exciting and it's an opportunity to work with some incredible talent in this space. AI Engineer The role is building AI based automation into back … In other words, if you need help, ask and get what you need. We are looking for the following skills - Software engineering experience in a commercial environment, working on ML and Ai for automation Keen interest, inquisitive and actively working on AI models Handson experience inc the following - AWS, NodeJS, LLMs, GenAI and Agentic AI The values and ethos of More ❯

to understand customer behaviour and optimise marketing spend and engagement. Ensure data quality and scalable infrastructure for marketing and customer data. Drive innovation by staying ahead of AI/ML trends in retail and customer analytics. Requirements: 5+ years' experience in Data Science, with a strong focus on customer or marketing analytics. Proven experience in building predictive models for segmentation … churn, LTV, personalisation, or attribution. Strong technical skills in Python and SQL, with experience deploying production-grade ML solutions. Confidence working with cross-functional stakeholders across marketing, CRM, eCommerce, and digital product. A collaborative mindset and a passion for using data to enhance the customer experience. If this role looks of interest, please apply directly, or reach out to Joseph More ❯

and improves through direct user and customer feedback. What You Bring Your curiosity lets you ask what if, and surprise us again, and again. Proven track record delivering impactful ML/AI solutions in production. Deep expertise in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, NumPy, Pandas). Hands-on experience with GenAI, agentic AI More ❯

engine—all with clinical-grade auditability. Hands-on impact – We expect you to write, review and ship code in the first 90 days, then scale systems and teams (data, ML, platform) to 20+ engineers within 18 months. Mission with metrics – Success is quantified: biological-age delta, engagement adherence and model explainability—not vanity MAUs. Your First 12 Months Ship V1 … of the food-analysis API (image + text → nutrient vector → protocol tag) with Stand-up an ML Ops stack (Vertex AI/Kubeflow, Terraform-managed infra) that supports rapid retraining and audit logs. Scale the team—hire or upskill research engineers, data scientists and backend developers; formalise career ladders and a high-trust culture. Secure the first clinical pilot by … D.Phil. (or equivalent depth) in Physics, CS, Computational Biology or similar, with peer-reviewed research or patented work. 10 + years engineering leadership; 5 + years building AI/ML or data platforms at scale. Proven track record of taking a 0→1 research concept to commercial launch—ideally in health, biotech, or regulated SaaS. Expertise designing vector-search , knowledge More ❯

prototypes using NLP and time series data. Supporting two business-critical systems powered by NLP and OCR. Designing your own evaluation sets and rigorously testing the performance of your ML models. Rapidly delivering front-end tools that bring immediate value to users. Ensuring reliability of your systems through comprehensive unit and end-to-end testing. Integrating and managing LLM APIs … What You’ll Bring: 5+ years of Python experience and 3+ years working with data science/AI products. Proven track record in NLP/OCR-based AI or ML systems. A strong product focus - solving real user problems is what drives you. Experience building lightweight, functional UIs and tools. A disciplined approach to testing and maintaining long-lived systems. More ❯

s building a business unit. Define & Evolve Proprietary LLM Edge: Your deep market expertise will directly shape our LLM's alpha-generating capabilities. Collaborate closely with our AI/ML research team to refine, iterate, and transform unique data insights into tradable strategies. Direct CEO and CIO Partnership & Strategic Autonomy: Benefit from direct strategic alignment with the CEO and CIO … quantitative research, algorithm development, and high-performance backtesting. Expertise in statistical performance analysis, market microstructure, and real-time risk control for systematic strategies. Demonstrable experience collaborating with AI/ML research teams or directly applying advanced statistical/ML techniques in trading. Preferred: Experience in building and leading a successful systematic trading desk or a new strategy suite from the More ❯

environment. Join us in transforming the life sciences industry , committed to making a positive impact on its customers, employees, and communities. The Role Are you excited about Search, NLP, ML, Vector Databases? Do you like solving complex problems and making software products that scale? This is your opportunity to develop intuitive new services within an established company that is rapidly … all aspects of autonomously architecting and developing new search products at a global scale. What You'll Do Build scalable web services to orchestrate and surface underlying Search and ML models Mine usage data to power features and guide development Participate in the technical planning, user story/technical acceptance creation, and implementation Plan technical architectures that minimize or eliminate More ❯

Familiarity with containerisation and infrastructure tools such as Docker, Kubernetes, Ansible, or Terraform Prior experience working with or delivering projects for in the defence industry Exposure to AI/ML is a plus, but not essential Comfortable working in Agile teams and secure environments This is an excellent opportunity for someone with a background in secure government environments who is More ❯