26 to 50 of 55 Machine Learning Jobs in West Sussex

and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's platform is architected to support … and has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results driven. Come join us! Summary: As platform engineers, we are building a next-generation machine learning platform, which incorporates our secret sauce, UML (unsupervised machine learning) with other SML (supervised machine learning) algorithms. Our team works to improve our core detection algorithms and automate the full training process. As complex fraud attacks become more prevalent, it is more important than ever to detect fraudsters in real-time. The platform More ❯

and customer value About you The skills and experience we are looking for you to bring are: •Proven experience in in software development, with a focus on AI or machine learning projects. •Proficient in Python and JavaScript, with hands-on experience in AI development, including building prototypes using platforms like OpenAI and Anthropic. •Strong understanding of AI technologies … complex technical details to non technical stakeholders and guide junior engineers. •A passion for working in a fast-paced, dynamic environment, with a proactive approach to problem-solving and learning Our recipe for leadership At Virgin Atlantic, our leaders empower teams to thrive through collaboration, innovation, and excellence. Explore our Leadership Recipe and discover the 20 core ingredients that More ❯

and customer value About you The skills and experience we are looking for you to bring are: •Proven experience in in software development, with a focus on AI or machine learning projects. •Proficient in Python and JavaScript, with hands-on experience in AI development, including building prototypes using platforms like OpenAI and Anthropic. •Strong understanding of AI technologies … complex technical details to non technical stakeholders and guide junior engineers. •A passion for working in a fast-paced, dynamic environment, with a proactive approach to problem-solving and learning Our recipe for leadership At Virgin Atlantic, our leaders empower teams to thrive through collaboration, innovation, and excellence. Explore our Leadership Recipe and discover the 20 core ingredients that More ❯

someone who has been working within banking or financial sector for some time, but really looking for a more meaningful & purpose-driven business to join. They are investing within Machine Learning & AI to improve digital experiences for their customers, and plan to keep growing the team whilst they move towards their next funding round. The role is remote More ❯

AWS/GCP), CI/CD, and agile product development Track record of scaling teams, improving delivery processes, and aligning engineering with company goals Bonus: Experience with AI/ML products or embedded intelligence in enterprise software Excellent communication, people management, and stakeholder engagement skills What’s On Offer ? Equity options for long-term growth ? Remote-friendly, with relocation or More ❯

Social network you want to login/join with: Senior Machine Learning Engineer, Crawley, West Sussex Location: Crawley, West Sussex, United Kingdom Job Category: Other EU work permit required: Yes Job Views: 4 Posted: 31.05.2025 Expiry Date: 15.07.2025 Job Description: Senior Machine Learning Engineer Salary: Up to £100,000 Location: London (Fully Remote) Company: Join an … the forefront of cutting-edge technology. This is your opportunity to work with the latest advancements and take a pivotal role in advancing their analytics platform. As a Senior Machine Learning Engineer, you’ll be at the forefront of innovation, developing and implementing machine learning models to optimize the platform’s performance. You’ll work with … a dynamic team, leveraging state-of-the-art technologies to drive the company’s growth. Responsibilities: Develop and deploy machine learning models to enhance the analytics platform. Collaborate with cross-functional teams to define and implement AI-driven solutions. Work on innovative, data-driven projects within the crypto space. Stay up to date with the latest trends in More ❯

will focus on AI development for the turn-based Total War Campaign. Please be aware that although the AI Team, and CA more widely, have a keen interest in machine learning and related techniques, this developer position is focused on more traditional search and optimisation processes. Candidates with a primarily machine learning (or similar) background would More ❯

in the SDLC, support CI/CD pipelines, and ensure testability is part of the design. AI Tools & Automation: Explore, evaluate, and drive the adoption of modern AI/ML tools for test generation, test maintenance, and defect prediction. People & Process Leadership: Mentor junior QA members, enforce best practices, and continuously improve testing strategies and coverage. Metrics & Reporting: Define and … like driving clarity and structure where there is ambiguity. Nice-to-haves Prior experience as a QA manager or team lead. Background in software development. Exposure to AI/ML concepts in a practical or project setting. Why Join Fanvue? Competitive salary and benefits package Work with a talented, mission-driven team dedicated to empowering creators worldwide A culture that More ❯

AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to … Certified: Azure Data Engineer Associate or similar - DESIRABLE Years of Experience 5+ years working with production data workloads in Azure - ESSENTIAL Other Requirements Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing data models and data warehousing solutions. … Knowledge of machine learning algorithms and experience in deploying models in production. In-depth understanding of Azure services and capabilities related to data and AI. Ability to analyse complex problems and develop innovative, scalable solutions. Proven ability to work effectively in a collaborative, cross-functional team environment. #J-18808-Ljbffr More ❯

working with an exciting Tech company who are seeking a Full Stack Data Scientist to join their Forecasting Algorithms team. The company's aim is to use cutting edge Machine Learning techniques to influence decision making in the hospitality and transportation spacce. You’ll be at the forefront of developing forecasting models, and supporting pricing strategies. This is … end-to-end—from design and testing to deployment and monitoring. Key Responsibilities Lead efforts to improve the performance and scalability of deployed forecasting models. Design and build internal ML and forecasting libraries. Contribute to product planning by translating business objectives into measurable results. Champion best practices in model development, validation, and inference pipelines. Stay current with state-of-the … art techniques in AI and ML and apply them effectively. Work closely with technical and non technical stakeholders. What You’ll Bring PhD is highly preferred! Strong experience building and implementing forecasting models using modern ML techniques. Deep understanding of time series analysis, statistics, and forecasting methodologies. Comfort working in a collaborative, cross-functional environment. Please note, this role cannot More ❯

making across core legal use cases. The Role We’re looking for a Legal AI Engineer who’s passionate about building intelligent systems at the intersection of law and machine learning. You’ll work closely with legal experts, data scientists, and product managers to develop AI features that tackle real legal challenges through the use of agentic GenAI. As … and documents (e.g., contracts, case law, regulations). Apply NLP techniques to extract structured insights from unstructured legal data. Collaborate with legal SMEs to translate domain knowledge into scalable machine learning solutions. Continuously … evaluate model performance, ensuring accuracy, fairness, and compliance. Help shape the data pipeline and MLOps practices for handling sensitive legal content securely. Required Experience: Solid experience with Python and ML/NLP libraries (e.g., spaCy, Hugging Face, TensorFlow/PyTorch). Experience building NLP or document analysis solutions, ideally for legal or compliance use cases. Strong understanding of legal language More ❯

numi are proud to be working with an company looking for an AI Engineer to help integrate cutting-edge AI into their Learning Technologies products. This role is all about turning AI research into real, impactful product features. What You’ll Be Doing Building & integrating AI models – Design, develop, and deploy AI solutions that make a real difference. Optimising … align with business goals. Communication & leadership – Break down complex AI concepts for different audiences and help upskill teams in AI tech. What They’re Looking For Solid AI/ML experience with a strong grasp of Python & frameworks like TensorFlow/PyTorch. Strong back-end engineering skills (Python or Node.js, bonus points for React/front-end experience). Experience More ❯

AI. Requirements: Strong background in geometric computer vision, state estimation, or SLAM. Industrial experience in deploying SLAM solutions. Proficiency in C++. PhD in computer vision or robotics. Experience with machine learning techniques for geometric & semantic estimation. Experience with embedded software development. If this role is of any interest please apply directly on LinkedIn or send a copy of More ❯

Kubernetes expertise, particularly in HPC or AI workload contexts. Familiarity with distributed file systems and advanced storage configurations. Understanding of GPU virtualization and multi-tenant HPC architecture. Exposure to machine learning frameworks and AI optimization workflows. Scripting skills in Python, Bash, or similar for automation and tooling. Personal Attributes Proactive and self-motivated, with a strong sense of More ❯

OTPUs. This role involves rethinking AI workload execution at speed and scale. You’ll lead design and implementation of distributed, low-latency inference systems, working closely with hardware and ML teams to optimize the stack—from model representation to data movement. Experience in microsecond-level performance is essential. Ideal candidates have backgrounds in HFT, scientific compute, or large-scale AI … infrastructure. Responsibilities Design and build high-performance distributed AI/ML systems Optimize for ultra-low latency and real-time inference, profiling and tuning as needed Identify and resolve performance bottlenecks across the stack Collaborate with compiler engineers to improve code generation and execution Work with hardware teams to leverage OTPU capabilities Extend ML frameworks (PyTorch, ONNX, OpenXLA) for performance … Skills & Experience 5+ years in performance-critical systems (HPC, HFT, AI infrastructure) Deep understanding of distributed systems and real-time data processing Strong C++ and Python skills Experience with ML compilers like LLVM, MLIR Knowledge of ML frameworks and optimization techniques Experience scaling AI workloads on custom infrastructure Debugging, profiling, performance tuning skills Degree in CS, Engineering, Math, or related More ❯

Lloyd’s syndicate seeking an experienced Data Science Manager to lead innovation across underwriting, pricing, and digital strategy. You’ll own and deliver impactful projects like Risk Ranking and ML-based profitability analysis—embedding data science into core decision-making and business operations. Location: Central London (Hybrid: 3 days/week in-office) Base Salary: Up to £120,000 (flexible … Bonus: 30–60% of base salary What you’ll be doing: Lead the Data Science function and manage a team of 2 Data Scientists Build and deploy ML models to support underwriting and portfolio decisions Work closely with underwriters, actuaries, and engineers to shape strategy Contribute to pricing innovation, digital trading, and AI-based automation Drive data integration across dashboards More ❯

future leaders—all while staying hands-on where it counts. What you’ll bring: • Deep expertise across modern data and AI platforms—from real-time streaming to serverless and ML pipelines. • Proven track record delivering scalable, distributed applications in the cloud (AWS, Azure, or GCP). • Fluency in data integration, event-driven architectures, and customer-centric design. • Ability to guide 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 ❯

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 ❯

user experience and want your software to feel ‘just right’ Enjoy the autonomy of working in small, fast-moving teams Have experience (or interest) in audio/video tools, machine learning, or tools for developers and creatives Want to be part of a team that values clarity, trust, and continuous improvement C#, .NET, WPF, Blazor (nice to have More ❯

behind smarter pricing decisions. THE ROLE As a Software Engineering Manager, you will lead a small, high-performing team focused on building the infrastructure that powers core AI and ML capabilities. Your work will directly enable smarter forecasting and real-time pricing for hotel partners around the world. Specifically, you can expect to be involved in the following: Leading the … design and maintenance of scalable infrastructure (Kubernetes, GCP) for ML-powered pricing systems Collaborating closely with Data Science teams to understand, support, and productionize predictive models Contributing hands-on to Python-based codebases, especially within data science contexts Providing light-touch line management to a capable and largely autonomous team Driving technical excellence and being the go-to technical leader … Engineering Manager will have the following skills and experience: Strong recent experience with Kubernetes, auto-scaling systems, and infrastructure on GCP Proficiency in Python, particularly in data science and ML-driven environments Experience working closely with Data Science teams and understanding algorithmic workflows Proven ability to lead and inspire engineers through technical depth and guidance Comfortable being hands-on while More ❯

experience with LLMs, agentic frameworks, and voice tech, and want to help scale something from zero to one, this is the role for you. Strong product-focused AI/ML engineering experience Experience fine-tuning LLMs and generative AI models Ideally, experience building voice agents (TTS, STT) Entrepreneurial, independent, and ready to build Strong communicator, stakeholder-friendly Based in the More ❯

developing state-of-the-art sports models. This position sits at the intersection of data science, engineering, software development, and mathematics , offering the opportunity to work on highly impactful machine learning solutions within the iGaming industry. Key Responsibilities Build and maintain robust, high-quality datasets for machine learning models. Design and implement automated algorithms and advanced … machine learning tools. Collaborate with a cross-functional team to solve complex problems and drive innovation. Skills & Qualifications Solid experience with machine learning , particularly with neural networks . Strong programming skills, preferably in Python ; knowledge of Matlab is a plus. Expertise in data shaping, preprocessing, and feature engineering . Excellent command of English , both written and More ❯