326 to 350 of 481 Machine Learning Jobs in the South East

data and content operations at scale. Balance current realities with an ambitious roadmap toward future innovation. Lead automation efforts in data normalization, enrichment, and quality assurance using AI/ML and Agentic AI. Align technical direction with business priorities to shape the roadmap. Technical Leadership Design, optimize, and govern modern, large-scale data architectures. Oversee architecture across applications, infrastructure, and More ❯

data and content operations at scale. Balance current realities with an ambitious roadmap toward future innovation. Lead automation efforts in data normalization, enrichment, and quality assurance using AI/ML and Agentic AI. Align technical direction with business priorities to shape the roadmap. Technical Leadership Design, optimize, and govern modern, large-scale data architectures. Oversee architecture across applications, infrastructure, and More ❯

data and content operations at scale. Balance current realities with an ambitious roadmap toward future innovation. Lead automation efforts in data normalization, enrichment, and quality assurance using AI/ML and Agentic AI. Align technical direction with business priorities to shape the roadmap. Technical Leadership Design, optimize, and govern modern, large-scale data architectures. Oversee architecture across applications, infrastructure, and More ❯

data and content operations at scale. Balance current realities with an ambitious roadmap toward future innovation. Lead automation efforts in data normalization, enrichment, and quality assurance using AI/ML and Agentic AI. Align technical direction with business priorities to shape the roadmap. Technical Leadership Design, optimize, and govern modern, large-scale data architectures. Oversee architecture across applications, infrastructure, and More ❯

software development ability. Software skills: AWS, PostgreSQL, MongoDB or related databases, Javascript, Node/Next.JS, React Native. Devops experience with a focus on security. Experience working with AI/ML technologies. Ability to document requirements and specifications Empathy and good communication and teamworking Experience Required At least 4 years engineering experience in a professional capacity working alongside a team of More ❯

tools, techniques, and architectures to evolve our AI offering. Contribute to UX thinking for how AI capabilities are surfaced in the platform. What we're looking for: AI/ML or LLM-based development in a fast-paced start-up environment. Built and deployed production-grade agentic systems Hands-on experience with PydanticAI, LangChain, LangGraph, or similar agent orchestration tools. More ❯

mathematical or geological problems. Experience in seismic processing, fracture modelling, fault seal analysis, kinematic or geological modelling techniques will serve you well in this role, as would exposure to Machine Learning. CI experience including JIRA, Git, Jenkins, Java, Bash, TestRail. What you'll get in return You'll work for a technology focused company building innovative products . There More ❯

Wales, we have closed our pre-seed round and are now building a scalable platform for wider rollout. As we establish our founding engineering team, we’re hiring a Machine Learning Engineer to lead the development of our core AI systems. What you’ll work on Computer Vision: You might come from a background in image embeddings and More ❯

Our client, an exciting Biotech start-up is seeking Senior Machine Learning Engineers for their … latest product in AI Drug Discovery. You must have experience in Biology, preference being within Drug Discovery. Requirements: Strong proficiency in Python Experience with LLM development Experience in deploying ML models at scale Understanding of NLP Proven track record in productionizing ML models Benefits: Salary up to £160,000 Equity/share scheme 3 days onsite, 2 days remote Private More ❯

engineering teams. Oversee the implementation and operation of security controls, incident response plans, and risk management frameworks. Work closely with the AI engineering team to address security implications of machine learning models and data pipelines. Evaluate and adopt new security technologies and frameworks aligned with our AI-powered platform. Collaborate with executive leadership on regulatory, compliance, and customer … in key client conversations, audits, and industry forums. Requirements 10+ years of experience in cybersecurity, including leadership roles in fast-paced technology environments. 3+ years working with AI/ML systems, securing data pipelines, models, and associated infrastructure. Strong technical background in areas such as application security, cloud security (AWS/Azure), identity and access management, and threat detection. Proficiency … experience delivering large-scale, cross-functional security projects. Excellent leadership, communication, and stakeholder management skills. Preferred Qualifications Experience in cybersecurity for SaaS or AI-native platforms. Familiarity with adversarial machine learning, model governance, or AI-specific threat models. Prior experience scaling security functions in startup or scale-up environments. What We Offer Executive-level compensation with performance-based More ❯

of secure, intelligent systems. This is a unique opportunity to apply your expertise in large language models and biometric access control within a mission-critical environment, alongside specialists in machine learning, cybersecurity, and enterprise-scale software. You'll be part of a high-impact team delivering next-gen AI solutions that are trusted by millions. What You'll … AI frameworks for autonomous planning, execution, and human-AI collaboration. Mentor team members and drive technical excellence across research and production environments. Ideal Profile 5+ years in AI/ML roles with a strong record of ownership and delivery. Hands-on experience with LLM development or fine-tuning , including frameworks like Hugging Face, LangChain, or custom pipelines. Deep technical understanding … of biometric security systems and privacy-aware architecture. Strong Python/ML stack (e.g., PyTorch, TensorFlow, Scikit-learn). Experience building real-time AI systems in production environments . Exposure to Agentic AI concepts or multi-agent systems is a strong plus. Due to the high volume of interest in this role, we may not be able to respond to More ❯

making, and data subject rights. Experience in data governance, compliance, or risk management , preferably in contexts involving AI, machine learning, or advanced analytics. Familiarity with AI/ML technologies and lifecycle , including how data is collected, processed, and used in model training and inference. Proven ability to conduct or oversee Data Protection Impact Assessments (DPIAs) and implement data More ❯

discipline of high‐frequency trading with the entrepreneurial agility of a DeFi start-up. Key Responsibilities Design and develop predictive market‐making and directional execution models Apply statistical and machine learning techniques to extract short‐term signals (ms–minutes horizon) Lead research initiatives: back‐testing, signal refinement, parameter optimization for diverse products (spot, derivatives, ETPs) Analyse high-frequency … in market structure and trading dynamics Market-Making QuantTrack : Experience building market‐making/HFT/MFT strategies, signal design, live parameter tuning Quant-Research Track : Background in developing ML models, automated pipeline infrastructure, version control, and training diagnostics Nice-to-Have Competitive programming/math competition experience (e.g. Kaggle, Topcoder) C++ proficiency Exposure to both CeFi and DeFi markets More ❯

complex mathematical and statistical research papers and then implementing those algorithms in code in a scalable fashion. Key experience Degree or PhD in Mathematics Mathematical algorithms eg statistical/machine learning/econometric time series C++ programming on Windows and/or Linux Any of the following would be advantageous Experience in both research and commercial software environments … MATLAB R Python Machine learning This is an opportunity to join a highly successful, expanding company offering the chance to work on complex, interesting C++ programming in a relaxed atmosphere. If you are looking for an opportunity of this nature please get in touch. More ❯

looking for a talented Pricing Data Scientist to join the dynamic team and drive innovation in motor insurance pricing. THE ROLE Develop and refine pricing models using statistical and machine learning techniques to improve underwriting accuracy and risk assessment. Analyse large data sets to identify trends, customer behaviours, and risk factors that impact pricing strategies. Implement data-driven … Continuously monitor and evaluate model performance, making data-backed improvements as needed. REQUIREMENTS Strong experience in data science, pricing analytics within insurance or fintech industries. Expertise in statistical modelling, machine learning, and data analysis techniques. Proficiency in programming languages such as Python, R, or SQL. HOW TO APPLY Please send CV below More ❯

Join our team and collaborate with world class engineers, data scientists, and researchers to shape the future of secure authentication. What you will be doing: Participate in hands-on machine learning research and deliver the results of the research in the form of new products. Communicate your results to the Science team, Engineering and Product teams Participate in … the machine learning life of the team (reading groups, etc.) Learn best machine learning practices from a team of senior applied scientists Essential Skills: Formal training in machine learning and computer vision Coding experience in python Experience working with at least one deep learning framework (pytorch or tensorflow) A strong willingness to learn … Free mental health coaching provided online Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy Dedicated learning opportunities including using tools like Learnerbly with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more Our open and transparent culture is More ❯

to list a few and Markerstudy also has a large and growing direct presence in the market as well. Markerstudy are building a market-leading pricing environment, integrating AI, machine learning and distributed computing into the heart of the underwriting, pricing and product management processes, and implementing innovative techniques and solutions. You will leverage your extensive pricing experience … feed into the team. Build and mentor the team, leading by example. Key Responsibilities: Lead the risk pricing team to: Develop and maintain risk models, leveraging both traditional and machine learning techniques. Monitor the quality of risk modelling, including accuracy, drift and stability of trends. Manage inflationary, IBNR and other risk trends within the technical rates in collaboration … outcomes as one team. Own the technical roadmap and deliver the development plan. Own the risk pricing policy, processes and controls, and ensure accurate and compliant rates. Leverage the machine learning and distributed computing platforms to guide the team in delivering efficient and robust outcomes. Stay abreast of market conditions, emerging issues and the regulatory environment. Communicate results More ❯

to list a few and Markerstudy also has a large and growing direct presence in the market as well. Markerstudy are building a market-leading pricing environment, integrating AI, machine learning and distributed computing into the heart of the underwriting, pricing and product management processes, and implementing innovative techniques and solutions. You will leverage your extensive pricing experience … feed into the team. Build and mentor the team, leading by example. Key Responsibilities: Lead the risk pricing team to: Develop and maintain risk models, leveraging both traditional and machine learning techniques. Monitor the quality of risk modelling, including accuracy, drift and stability of trends. Manage inflationary, IBNR and other risk trends within the technical rates in collaboration … outcomes as one team. Own the technical roadmap and deliver the development plan. Own the risk pricing policy, processes and controls, and ensure accurate and compliant rates. Leverage the machine learning and distributed computing platforms to guide the team in delivering efficient and robust outcomes. Stay abreast of market conditions, emerging issues and the regulatory environment. Communicate results More ❯

to list a few and Markerstudy also has a large and growing direct presence in the market as well. Markerstudy are building a market-leading pricing environment, integrating AI, machine learning and distributed computing into the heart of the underwriting, pricing and product management processes, and implementing innovative techniques and solutions. You will leverage your extensive pricing experience … feed into the team. Build and mentor the team, leading by example. Key Responsibilities: Lead the risk pricing team to: Develop and maintain risk models, leveraging both traditional and machine learning techniques. Monitor the quality of risk modelling, including accuracy, drift and stability of trends. Manage inflationary, IBNR and other risk trends within the technical rates in collaboration … outcomes as one team. Own the technical roadmap and deliver the development plan. Own the risk pricing policy, processes and controls, and ensure accurate and compliant rates. Leverage the machine learning and distributed computing platforms to guide the team in delivering efficient and robust outcomes. Stay abreast of market conditions, emerging issues and the regulatory environment. Communicate results More ❯

in a dynamic and fast-paced environment. You’ll work alongside a talented and dedicated leadership team to create a next-generation data and video platform, integrating AI and machine learning at its core. With no legacy technology to hold them back, they are focused on innovation - leveraging tools like computer vision and LLM's to solve complex … while contributing to the long-term strategy of an industry-disrupting company. They are seeking a candidate who: Has 3-5 years of hands-on experience in data science, machine learning, or AI. Possesses a strong academic background, especially in mathematics or related fields. Is eager to learn aggressively and grow into a leadership role, driving product innovation … and strategic thinking. Brings expertise in machine learning and AI, with experience in fintech or adjacent sectors considered a plus. Thrives in a start-up environment, demonstrating initiative, enthusiasm, and a results-driven mindset. Key Responsibilities: Collaborate with the team to turn a theoretically straightforward MVP into a fully functional and scalable product. Develop data-driven solutions to More ❯

developing next generation autonomous systems. Package Generous package to be discussed Bonus Equity + More Responsibilities Design, develop, and optimize real-time computer vision and image processing algorithms. Apply machine learning and AI techniques for automatic target detection, tracking, and classification. Lead the integration of seeker and mission-critical software onto embedded flight systems. Develop, test, and maintain … to align technical efforts. Contribute to technical reviews and project planning discussions. Requirements Strong proficiency in C/C++ and Python Deep understanding of computer vision , image processing , and machine learning Experience with libraries like OpenCV , TensorFlow , PyTorch , or Jetson Hands-on experience with embedded systems , real-time processing , and HW/SW integration Experience in defense, aerospace More ❯

into actionable insights. Collaborate Across Teams: Work closely with design, control systems, and commercial teams to spearhead multidisciplinary projects. Drive Cutting-Edge Solutions: Explore the integration of AI and machine learning into performance analysis and optimisation workflows. What You'll Bring: A strong engineering or STEM background with proven expertise in Python and data analysis. Performance and Simulations … that redefine performance engineering in the maritime sector. A collaborative environment with opportunities to lead projects and innovate. Competitive salary and benefits. Continuous growth through exposure to advanced programming, machine learning, and cutting-edge simulation workflows. If you're eager to tackle complex engineering challenges and shape the future of maritime innovation, we'd love to hear from More ❯

vision, offering a unique opportunity to pioneer advancements at the intersection of AI and robotics. Key responsibilities: Establish and own the adoption of state-of-the-art AI/ML and robotics technologies. Lead hands-on integration of robotic systems with advanced reasoning and knowledge-based frameworks. Develop robust robotic world models using VLA/VLM/LLM solutions or … similar alternatives. Oversee end-to-end AI/ML workflows, including research, model training, and deployment in simulated and real-world environments. Advance semantic mapping, SLAM, and other critical technologies to enhance robotic autonomy. About you: Advanced expertise in robotics, perception, navigation, and planning, with a proven ability to integrate these systems with VLA, VLM, LLM, or equivalent technologies. Strong … background in robotic autonomy, semantic mapping, SLAM, and knowledge-based frameworks. A track record of impactful publications and innovative projects in AI/ML and robotics. Proficiency in Python, cloud platforms, databases, and modern ML pipelines. Hands-on experience in designing and implementing autonomous systems in complex environments. Visionary leadership and a passion for solving challenging problems through AI-driven More ❯

accurately measure and optimise channel performance, customer journeys, and marketing RO Implement advanced data modelling, predictive analytics, dashboarding, and reporting automation to support decision-making and performance tracking Utilise machine learning and generative AI to surface deep insights, automate routine tasks, and hyper-personalise user journeys Forge and nurture strategic partnerships to unlock new revenue streams worldwide Foster … focus on scalability, interoperability, and ROI Advanced skills in data modelling, predictive analytics, dashboarding, and reporting automation Mastery of modern marketing analytics platforms, attribution modelling, and the application of machine learning and gen-AI for insight generation and personalisation Strong commercial acumen with the ability to connect marketing performance with business impact Exceptional leadership and communication abilities, with More ❯

Month Contract (Parental Leave Cover) Location: Remote or Reading, UK Start Date: August 18, 2025 | End Date: October 31, 2026 Are you passionate about empowering developers and driving impactful learning campaigns across Europe? Join a global tech leader as a Developer Marketing Manager and lead initiatives that educate, inspire, and engage millions of developers in cutting-edge fields like … AI, deep learning, data science, and high-performance computing. This is an exciting opportunity to own and scale education-focused marketing programs across EMEA, supporting a world-class training platform that has already reached nearly a million developers. What You’ll Do Manage EMEA-level marketing for technical training programs, including integrated campaigns, events, media outreach, influencer collaboration, and … or equivalent in marketing, business, or a related field. Fluent English and excellent written, verbal, and cross-functional communication skills. Bonus Points Experience marketing to developers in AI/ML, deep learning, or parallel computing environments. Previous engagement with startup ecosystems and developer communities. Additional language skills, especially a Nordic language. Join a mission-driven, global team where you More ❯