376 to 400 of 481 Machine Learning Jobs in the South East

narratives to help decision-makers respond to emerging information threats. We’re looking for a Senior Full Stack Developer to lead the evolution of our platform — integrating AI/ML systems, developing user dashboards, and delivering robust SaaS features at speed. What you’ll do: Build and scale full-stack features using React , Django/FastAPI , and GraphQL Integrate AI … product Develop internal tools, streamline processes, and improve UX/UI Design and maintain scalable infrastructure on AWS (ECS/EKS, CDK) Collaborate with a lean, senior team across ML, product, and design Lead on sprint planning, staging, and incident response What we’re looking for: Strong Python developer with SaaS and AI product experience Deep knowledge of React , AWS More ❯

C or Fortran). Further experience with C# (including WinForms, WPF, QML Frameworks) would be desirable. Strong numeracy and understanding of mathematical modelling. Experience with CUDA, multithreading, AI/ML would be advantageous. Any exposure to 3D/2D graphics development (OpenGL, Vulkan) would be beneficial. The company offers an excellent remunerations package including annual bonus and significant enhanced pension More ❯

to www.ascendion.com With Ascendion ( www.ascendion.com ), you: Will get to work on numerous challenging and exciting projects on our various offerings including Salesforce, AI/Data Science, Generative AI/ML, Automation, Cloud Enterprise and Product/Platform Engineering. At Ascendion you have high chances of project extension or redeployment to other clients. Additionally, you can also share CV of anyone More ❯

data labels while collaborating closely with our operations team to generate insights and optimise the labeling process. You will play a pivotal role in the development of AI and ML models, ensuring the accuracy and relevance across both integrity and support use cases. A key aspect of the role will involve identifying and addressing instances of bad actors or misrepresentation More ❯

Hands-on experience with UAVs/drones, including flight controllers, sensors, and payload integration. Background in aerospace, defence, or service industries (RAF, Navy, Army). Familiarity with AI/ML-based navigation technology, flight simulation software, or camera systems. Programming knowledge in Python and C++ Experience with standard troubleshooting tools and diagnostic equipment. What to expect in your day-to More ❯

tools and methods across multidisciplinary design teams. Guide the strategic application of software architecture, APIs, digital twins and Common Data Environments (CDEs). Apply advanced technologies including AI/ML and agile pipelines across multiple programming frameworks. Serve as a senior advisor to project leadership, ensuring digital strategies align with functional and business goals. Drive business value through Agile product More ❯

fast‐moving, ambiguous environment. Nice to have Tape‐out experience at 22 nm or below. Knowledge of coherent optical links or photonic‐electronic co‐design. Familiarity with AI/ML workloads, systolic arrays or tensor‐processing architectures. Contributions to open‐source RTL, verification frameworks or FPGA boards. Compensation & Benefits Competitive salary ranging from £135k+, depending on experience. Stock options in More ❯

templates, and best practices. Required Skills & Experience Experience in end-to-end recruitment, ideally a mix of agency and in-house environment. Familiarity recruiting for Trading, IT, Data and ML/AI space. Extensive sourcing experience using LinkedIn Recruiter, Boolean search, and other sourcing tools/techniques. Leverage innovative tools and technologies, including AI-powered sourcing and screening solutions, to More ❯

Start up & App of the year, they're well positioned for rapid growth They're looking for VP/Head of Data & AI to spearhead the development of an ML/AI patient triage platform - we're looking for a technical (hands-on) leader with experience working in the HealthTech space (ideally mental health related), in a start-up/… vs. therapist role Developing comprehensive data modelling and analytics capabilities ✅ Required expertise: HealthTech background is a must have , ideally with experience working on Mental Health products/services Deep machine learning, data engineering and AI expertise Ability to be hands-on while developing strategic direction (and leading a team in the future) Proven track record building data services More ❯

help shape both product and culture from the ground up. What they’re looking for: Full-stack product skills : From backend infra to frontend UX (unless more specialised). ML/AI expertise : Ideally has built or deployed models, understands LLMs, NLP, vision, or other relevant domains. Startup-readiness : Can build v0 → v1, tolerate ambiguity, wear multiple hats. Ownership mindset … . Tech Stack: TypeScript + SvelteKit, PostgreSQL, and Python Bonus if you have a fintech/regtech background. Even bigger bonus if you're excited by agentic AI + machine learning (or keen to grow into it) Culture fit is important here — it's a small, thoughtful team moving quickly. If you're open to contract work now More ❯

experience running systematic cash equity strategies. They are looking for a Quantitative Researcher with demonstrated experience conducting alpha research on cash equities. The ideal hire would have experience applying machine learning and/or statistical learning techniques to develop models to enhance the trading process. The fund prides itself on its high-quality data, robust infrastructure, and … collaborative culture. This would be an opportunity to learn from a diverse team, with extensive sell and buy-side experience. Responsibilities Developing alpha strategies from global cash equities. Leveraging machine learning tools to identify alpha signals from traditional, fundamental, and alternative datasets. Collaborating with the PM, supporting with idea generation, data analysis, and backtesting. Contributing to the research … and Factor Modelling. Requirements Advanced degree in a quantitative field such as Mathematics, Physics, Statistics, or Engineering. Demonstrated experience developing systematic cash equity/statistical arbitrage strategies. Experience with machine learning models and/or statistical learning models (e.g. LLMs, neural networks, Deep Learning models, etc.). Capacity to excel in a fast-paced environment. Strong More ❯

make an impact. Requirements A proven track record of managing cross-functional research projects, ideally involving collaboration with both internal and external partners. In-depth expertise in AI and machine learning approaches, with awareness of current developments and future trends. A relevant academic background e.g. typically a degree in Computer Science, Mathematics, AI, or a related field (postgraduate … PhD or Master’s are a plus). Ability to clearly articulate complex technical concepts to a variety of audiences, including non-specialists. Solid understanding of how to adapt ML techniques to specific industry challenges and business-driven problems. Strong programming and prototyping skills, especially useful when building demonstrators or PoCs to validate research outputs. A proactive mindset and the … managing expectations, and driving projects through to delivery. Ideally, experience applying AI in a commercial or customer-focused environment. Hands-on knowledge in areas such as signal processing, reinforcement learning, neural network training, or multi-agent systems. Familiarity with research publishing processes and participation in academic or industry conferences. Responsibilities Leading research initiatives that explore the practical application of More ❯

make an impact. Requirements A proven track record of managing cross-functional research projects, ideally involving collaboration with both internal and external partners. In-depth expertise in AI and machine learning approaches, with awareness of current developments and future trends. A relevant academic background e.g. typically a degree in Computer Science, Mathematics, AI, or a related field (postgraduate … PhD or Master’s are a plus). Ability to clearly articulate complex technical concepts to a variety of audiences, including non-specialists. Solid understanding of how to adapt ML techniques to specific industry challenges and business-driven problems. Strong programming and prototyping skills, especially useful when building demonstrators or PoCs to validate research outputs. A proactive mindset and the … managing expectations, and driving projects through to delivery. Ideally, experience applying AI in a commercial or customer-focused environment. Hands-on knowledge in areas such as signal processing, reinforcement learning, neural network training, or multi-agent systems. Familiarity with research publishing processes and participation in academic or industry conferences. Responsibilities Leading research initiatives that explore the practical application of More ❯

hiring a Senior Product Engineer to help build the systems and tools that support a new wave of companies tackling humanity’s biggest challenges, from decarbonization and bioengineering to machine learning and planetary health. They are a small team of technologists, operators, and scientists backing and building alongside deep tech startups at the earliest stages. You’ll be … in early-stage startups, venture studios, or R&D environments Experience with data pipelines, analytics tooling, or low-code platforms Knowledge of domains like synthetic biology, climate tech, or ML Contributions to open-source projects or public-facing engineering work Interest in supporting mission-driven founders and scientific innovation No sponsorships available More ❯

Machine Learning Engineer (Founding Team) - LLM Join an early-stage, stealth-mode startup on a mission to redefine the future with cutting-edge ML. Backed by top-tier investors and building something bold from the ground up. We're looking for a self-motivated, exceptional Machine Learning Engineer to work directly with the founders and CTO … This is a critical early hire with massive ownership, influence, and the chance to shape both product and technical direction. W hat You'll Do: Build and deploy novel ML systems from scratch Work at the cutting edge of AI research and infrastructure Help define the company’s core tech and culture What We're Looking For: Deep ML expertise … engineering fundamentals Bias toward action and startup grit This is your chance to make a real impact. If you're ready to build something that matters - get in touch. Machine Learning Engineer (Founding Team) - LLM More ❯

Profitable FinTech Scale-Up Hybrid (London) or remote within the UK Up to £140,000 per annum plus stock options Python | Django | FastAPI | AWS | Rust | Postgres | Event-Driven Architecture | Machine Learning Principal Engineer - We're working with a leading fintech scale-up that’s transforming how small businesses access finance. Backed by a strong track record and an … collaborative leader who has mentored teams and influenced product direction. Experience working with complex domain models and evolving codebases. Bonus skills include : Python, Django, PostgreSQL, event-driven data systems, machine learning familiarity and frontend awareness. If you're a Principal Engineer looking to combine hands-on technical leadership with real strategic influence in a product-led fintech then … Profitable FinTech Scale-Up Hybrid (London) or remote within the UK Up to £140,000 per annum plus stock options Python | Django | FastAPI | AWS | Rust | Postgres | Event-Driven Architecture | Machine Learning More ❯

of data scientists, ensuring consistent innovation and high-quality outputs. Communicate the business value of data science to both technical and non-technical audiences. Utilise advanced analytics, AI, and machine learning techniques to solve complex business challenges. What We’re Looking For Extensive experience managing multidisciplinary data teams. Hands-on expertise in machine learning, AI, and More ❯

Big Data Engineer Role As a Big Data Engineer, you will play a crucial role in creating and maintaining systems to support our client’s data science, AI and machine learning workloads. You will be required to work in a collaborative nature with different departments and ensure effective data integration. Why Work as a Big Data Engineer with … end-to-end testing to ensure seamless tool and system integrations across the data stack. Design and support secure, scalable systems using network protocols (TCP/IP, OSI) Enable machine learning and AI workflows through tools like Jupyter, SpaCy, Transformers, and NLTK. Implement and support BI tools (Tableau, Power BI, Kibana) to drive actionable insights from complex data More ❯

with tools like Clerk. Deploying applications on Vercel and maintaining robust CI/CD pipelines with GitHub Actions. Collaborating with our AI research and backend teams to translate complex machine learning workflows into elegant frontend solutions. Optimizing application performance for speed and scalability, ensuring a best-in-class experience for our global user base. Staying current with the … REST, GraphQL) and state management patterns. Experience with data visualization libraries (e.g., D3.js, Chart.js) to represent complex model evaluation insights. Familiarity with computer vision concepts and an interest in machine learning is a significant plus. Excellent problem-solving skills and the ability to perform in a fast-paced, high-intensity environment. Cultural Fit - Intensity Required Ultralytics is a … solutions. Gear: Brand-new Apple MacBook and Apple Display provided. Team: Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. More ❯

and driving sales growth. Responsibilities Data modelling Data extraction and mapping Requirements clarification Documentation Customer communications Skills Must have Data Modelling Automation GIS experience Nice to have Azure storage Machine learning Python More ❯

DWH development Data modelling Requirements clarification Customer communications Skills Must have Data Modelling Azure Data Lake Azure Data Factory Data Pipeline development Postgres, MySQL and SQLite Nice to have Machine learning Python More ❯

Options Overview: A leading-edge AI company is seeking a Principal Machine Learning Engineer to take on a technical leadership role, guiding the development of high-performance ML systems from research to real-world deployment. This is an ideal role for someone who has successfully moved from research into commercial ML applications and is ready to lead a … high-performing team and shape strategic direction. Join a mission-driven, technically elite team solving complex ML challenges in a collaborative, high-growth environment. You’ll work closely with leadership, contribute directly to company direction, and enjoy strong support for career progression. Key Responsibilities: Lead and mentor a team of ML engineers and researchers. Drive innovation and translate research into … executives, partners, and media. Oversee end-to-end model development, from data preprocessing to evaluation. Influence company strategy and technical direction. Essential Skills and Experience: 7–10 years of ML experience, with a strong record of transitioning research into production. Proven team leadership in a technical or research setting. Expert in Python and PyTorch; JAX is a plus. Strong foundation More ❯

Options Overview: A leading-edge AI company is seeking a Principal Machine Learning Engineer to take on a technical leadership role, guiding the development of high-performance ML systems from research to real-world deployment. This is an ideal role for someone who has successfully moved from research into commercial ML applications and is ready to lead a … high-performing team and shape strategic direction. Join a mission-driven, technically elite team solving complex ML challenges in a collaborative, high-growth environment. You’ll work closely with leadership, contribute directly to company direction, and enjoy strong support for career progression. Key Responsibilities: Lead and mentor a team of ML engineers and researchers. Drive innovation and translate research into … executives, partners, and media. Oversee end-to-end model development, from data preprocessing to evaluation. Influence company strategy and technical direction. Essential Skills and Experience: 7–10 years of ML experience, with a strong record of transitioning research into production. Proven team leadership in a technical or research setting. Expert in Python and PyTorch; JAX is a plus. Strong foundation More ❯

of the latest buy-side data practices and be able to implement innovative solutions win and gain influence over stakeholders across the front and middle office experience implementing AI, machine learning and data science strategies in asset management a desire to build teams, set standards and lead people More ❯

of the latest buy-side data practices and be able to implement innovative solutions win and gain influence over stakeholders across the front and middle office experience implementing AI, machine learning and data science strategies in asset management a desire to build teams, set standards and lead people More ❯