51 to 75 of 189 Machine Learning Jobs in Slough

60k-£90K | Lucrative Stock Options Are you an experienced Optical Engineer with experimental experience with Optical Systems? Are you looking to work on cutting-edge products in AI and Machine Learning? Then this might just be the role for you! We are working with a disruptive London-based Computer Networking company who are working on the cutting edge … of AI and Machine learning technology with applications for increased productivity in Data centres and HPCs. They are looking for a Senior Optical Engineer to join them in their mission to revolutionise AI systems whilst reducing energy consumption and striving for a sustainable future. Key responsibilities: Work within the optical network integration team in close collaboration with other More ❯

products. Now, we’re bringing that same spirit of quality and innovation to software: a putting simulator for iPhone that pairs with our ‘AirBreak’ putting platform, using on-device machine learning to turn putting practice into interactive game modes and skills challenges. What you’ll do: Lead development of our iOS putting simulator app – evolve … a working MVP that already detects the playing surface, balls and putts into a stable, production-ready app. Refine computer vision - real-time object detection and tracking using Core ML/Vision (or similar frameworks such as OpenCV or PyTorch). Balance accuracy and performance - deliver fast, thermally efficient gameplay on iPhone. Collaborate directly with our CEO (a former developer … to create well-structured and maintainable code. What you’ll bring: Strong track record of shipping iOS apps in Swift using native frameworks. Experience integrating and optimising on-device machine-learning or computer-vision models. Engineer for accuracy and responsiveness - balancing performance and thermal limits while keeping the codebase simple to test and extend. Able to explain decisions More ❯

ML & Cloud Infrastructure Engineer Up to £180,000 London (Hybrid, 3/4/5 days onsite per week) Company: Early stage start up building the world’s first 3D Foundation Model, enabling generative capabilities in fully dynamic 3D environments, with motion, physics, and spatial reasoning built-in. Their mission is to redefine how industries, from robotics and AR/… VR to gaming and movies, generate and interact with 3D content. Responsibilities: Develop high-performance, cloud-based systems for ML training and API serving Manage and optimize infrastructure on AWS, GCP, or Azure; support local and distributed ML workflows Configure servers, monitor performance, and optimize storage for large-scale ML data Use Docker, Kubernetes, and Terraform to deploy and scale … applications Collaborate with researchers and engineers to streamline ML operations Handle incidents, troubleshoot issues, and improve system robustness Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3 years professional experience in a cloud-related role, preferred ML-related. Strong coding skills in Python and SQL Proficiency in cloud platforms Proficiency in containerization Proficiency More ❯

We are a small London startup with the ambition to change education with ML-powered tutoring . Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone . We are building a … fundamental model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Senior ML Engineer with a proven track record of delivering ML models to production. What you will do 🚀 Build fundamental models for education - solving the ultimate learning task of predicting student knowledge and optimal ‘next … for performance, scalability, and accuracy Essential skills 🙏 Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production Experience working with entire ML systems and data pipelines in large-scale production systems Experience building automated data pipelines Strong understanding of CI/CD pipelines and automation tools for efficient model deployment and monitoring More ❯

training, evaluation, and deployment across research, staging, and production environments. Design and implement model registries, versioning systems, and experiment tracking to ensure full reproducibility of all model releases. Deploy ML workflows using tools like Airflow or similar, managing dependencies from data ingestion through model deployment and serving. Instrument comprehensive monitoring for model performance, data drift, prediction quality, and system health. … aligned with business objectives. Build tooling and abstractions that make it easy for Research Engineers to deploy models reliably without needing deep infrastructure knowledge. Ensure compliance, governance of all ML processes and workflows. What We Look For Experience building and operating ML infrastructure, ideally in production environments serving real users. Strong proficiency in containerisation (Docker, Kubernetes) and orchestration of multi … stage ML workflows. Hands-on experience with ML platforms and tools such as MLflow, Kubeflow, Vertex AI, SageMaker, or similar model management systems. Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms (AWS, GCP, or Azure). Experience with relational databases and data processing and query engines (Spark, Trino, or similar). Familiarity with monitoring More ❯

Member of Technical Staff (Applied ML) – Agentic AI 📍 London, UK - Hybrid/Flexible (must be UK-based already | 💰 £200k+ & Equity A new frontier in AI infrastructure is being built, and we’re hiring the founding technical team to make it happen. Mission: to create super-intelligence as a copilot for AI teams. A system that enables enterprises to move from … experimentation to full-scale production without the need for a massive ML engineering organisation . An early-stage, high-impact startup founded by engineers and researchers from Google, Spotify, and Uber , backed by some of the world’s most influential investors . With offices in London and San Francisco , they’ve just completed a major funding round and are scaling … toward Series A in early 2026 . The Role We’re looking for a Member of Technical Staff (Applied ML) who thrives on building systems that work in the real world. You’ll join as one of the company’s first 10 engineering hires, shaping the core architecture, training stack, and intelligent agent frameworks that define how AI systems reason More ❯

Maintain a deep, hands-on understanding of our AI platform, its APIs, and its underlying architecture. Stay abreast of the competitive landscape and emerging trends in the AI/ML market. Qualification and expertise: Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field. Advanced degree is a plus. 3+ years of experience in a Sales …/Solutions Engineer, Customer-Facing Data Scientist, or Technical Product Manager role, preferably in a B2B SaaS or AI/ML company. Hands-on experience with AI/ML concepts, data science workflows, and cloud platforms (AWS, Azure, GCP). Proven ability to design and deliver compelling POCs and technical demonstrations. Excellent presentation, whiteboarding, and written communication skills. Ability to … AI domain (e.g., experience with LangChain for an LLM company, or TensorFlow/PyTorch for a computer vision company). Understanding of MLOps principles and the end-to-end machine learning lifecycle. Programming/scripting experience (e.g., Python, SQL) to manipulate data and interact with APIs for demos. A portfolio of past POCs, demo videos, or technical blog More ❯

seeking a talented .NET Developer with AI experience to join our London team. The ideal candidate will be responsible for developing and maintaining .NET applications while integrating AI and machine learning capabilities to enhance business solutions. You will collaborate closely with data scientists … software engineers, and business stakeholders to deliver intelligent and scalable applications. Key Responsibilities: Design, develop, and maintain .NET applications (C#, ASP.NET Core, .NET 6/7) Integrate AI/ML models into production applications using APIs or custom implementations Collaborate with data scientists to implement AI solutions (e.g., NLP, computer vision, predictive analytics) Optimize application performance and scalability Write clean … date with emerging technologies in .NET development and AI Required Skills & Qualifications: Strong experience in C#, .NET Framework, .NET Core/6/7, ASP.NET Experience with AI/ML frameworks such as: ML.NET TensorFlow/PyTorch (for integration with .NET) Azure Cognitive Services/OpenAI/AI APIs Knowledge of RESTful APIs , microservices, and cloud platforms (Azure, AWS, or More ❯

Lead ML Engineer 📍 London (3 days a week) | 💰 £100k–£135k + EMI shares | ❌ No sponsorship I’m partnered with a scaling AI consultancy and product company that works with global enterprises to design and deliver cutting-edge Generative AI solutions. They have partnerships with renowned tech firms - adding commmercial value. They’re looking for Lead/Senior ML/AI More ❯

years’ experience in a consultancy environment , leading delivery across complex, client-facing technical projects. Degree (or higher) in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI More ❯

We are a small London startup with the ambition to change education with ML-powered tutoring . Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone . We are building a … that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Senior NLP Engineer , with a proven track record of delivering ML models to production, to join the ML team in our growing company. What you will do 🚀 Build fundamental models for education - solving the ultimate learning task of predicting student … speak, or learning to speak, more than one language Experience with reinforcement learning Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.) Experience using voice data in ML models What we can offer ✨ A real-deal startup adventure: you'll be hopping on a major project while it's still in the works! Freedom to suggest, implement, and More ❯

London, UK This is a permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human preferences, ensuring they are … and generative modelling, helping us build the next generation of foundation models Responsibilities: Develop and refine RLHF algorithms for large language and generative models. Research and implement deep reinforcement learning methods (policy gradients, actor-critic, off-policy learning) for model alignment. Train, fine-tune, and evaluate LLMs and diffusion models at scale. Design experiments to align generative outputs … on experience training/fine-tuning generative models (LLMs, diffusion, transformers, GANs). Strong knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow). Proficiency in Python and standard ML libraries. Solid foundations in probability, optimisation, and statistics. Experience working with large-scale distributed training on GPUs/TPUs. If this sounds of interest, please reach out to daniel@microtech More ❯

Senior Software Engineer II – ML Platform & GenAI (relocation to dubai) Location: Dubai, United Arab Emirates As part of the Machine Learning Platform & Generative AI Applications team, this role sits at the intersection of engineering, data science, and product development. The team builds the foundational tools that power intelligent and engaging user experiences across multiple business verticals. This is … experience in software engineering with strong design principles and system architecture knowledge. Proficiency in programming languages such as Python, Java, Go, or similar. Experience working with Generative AI and ML infrastructure, including: Fine-tuning transformer models Managing embeddings Building RAG pipelines Familiarity with vector databases (e.g., Pinecone, Milvus, Weaviate) and semantic search techniques. Strong foundation in cloud infrastructure, networking, security … CD pipelines, and observability. Experience with cloud platforms (AWS, GCP, etc.) or database internals. Proven track record of delivering end-to-end projects and mentoring engineers. Direct experience with ML platforms and MLOps is required. More ❯

capable of shaping the future of secure, ethical, and compliant AI adoption across critical environments. What you’ll do This is a senior, strategic consulting role — driving AI/ML security architecture, influencing C-suite direction, and ensuring security-by-design across complex AI systems and data pipelines. You’ll define and deliver AI security strategies, develop reference architectures, and … of the band (£90–115K), you’ll need strong consulting experience and commercial awareness alongside deep technical expertise. Key areas of focus Define and implement enterprise-level AI/ML security strategies, policies, and architectures. Lead on AI risk assessment, threat modelling, and mitigation planning. Ensure compliance with GDPR, the EU AI Act, and international security frameworks (ISO 27001, NIST … practice. Communicate complex risks clearly to senior stakeholders and boards. What you’ll bring 7+ years’ strategic cybersecurity experience, ideally in consulting or advisory. Deep understanding of AI/ML security architecture, adversarial ML mitigation, and model governance. Current security certifications such as CISSP or CISM. Proven experience across cloud security, data privacy, and DevSecOps. Familiarity with frameworks including NIST More ❯

workflow automation tools (e.g. n8n, LangChain) or BI platforms (QuickSight*, Tableau, Power BI). Exposure to cloud platforms (AWS, Docker) or CI/CD principles. Previous projects involving NLP, machine learning, automation, or dashboard design. Why Apply? Impact: Contribute directly to shaping an AI-driven product used by leading brands. Learning: Gain hands-on experience with modern More ❯

looking for an AI analytics engineer/data focused developer. You’ll join our London office to drive development of Savantiq’s analytics capabilities: from statistical modelling and custom ML models, to retrieval systems and fine-tuned LLMs. You’ll work directly with the CTO, shaping cutting-edge tools that transform deal-making in M&A, PE, and VC - with … even further. The role is in person in London. Skills Core Solid foundation in statistical modelling and data-driven problem solving, with hands-on experience with a range of ML/AI techniques, e.g. supervised/unsupervised learning, natural language processing and LLMs. Ability to select the best analytics tools and frameworks to address a variety of problems. Strong … software development experience in Python, with understanding of object-oriented and functional programming paradigms. Experience in building and deploying ML pipelines from scratch, and ensuring scalability to production environments, ideally with experience in AWS. Relentless drive and energy required to work in an early stage startup Team player and strong communication skills Beneficial Familiarity with MLOps practices for continuous deployment More ❯

tech stack. THE ROLE As a Contract Python Backend Engineer , you'll take ownership of backend development for a Python-based web application, ensuring smooth integration with AI/ML pipelines and data infrastructure. You'll work closely with data engineers, AI specialists, and frontend developers to deliver robust, production-quality software. Key Responsibilities: Build and maintain Python web applications … FastAPI preferred) Integrate AI/ML components with backend, data, and compute infrastructure Deliver clean, well-documented code following best practices Implement automated testing frameworks and CI/CD workflows Monitor and improve performance metrics across deployed tools Collaborate with technical teams to develop end-to-end data pipelines YOUR SKILLS AND EXPERIENCE Essential: Proven Python backend development experience (FastAPI … a computational, numerate, or life sciences discipline (or equivalent experience) Preferred: Docker and containerized application experience Experience in scientific or pharmaceutical domains (e.g. genomics, proteomics) Familiarity with AI/ML-powered applications and agent-based frameworks (LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and iterative model improvement Exposure to frontend technologies (React desirable) THE BENEFITS Competitive day rate More ❯

meet the needs of our employees now and in the future through FLEXWORK, our approach to how we work. We’re changing the nature of work from benefits to learning, location to leadership, we’ve rethought and recreated every aspect of the employee experience at Palo Alto Networks. And because it FLEXes around each individual employee based on their … a sales or sales specialist role in the cybersecurity, cloud, or AI space and 2 years of sales management experience preferred Understanding of AI technologies, including generative AI tools, machine learning, and large language models (LLMs) Strong grasp of firewall fundamentals, including the ability to discuss how modern software firewalls help customers secure traffic in the cloud, prevent More ❯

Work with large datasets from multiple sources (investment, risk, client, operational) to create integrated analytical views. Contribute to the development of a modern data platform supporting advanced analytics and machine learning use cases. Support the migration of legacy reporting tools into Databricks and modern BI solutions. Key Skills & Experience Essential: Strong hands-on experience with Databricks (SQL, PySpark More ❯

footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest More ❯

related role within a media agency, consultancy, or fast-paced business. Strong programming skills in Python, with experience building automation workflows, APIs, and data pipelines. Exposure to AI/ML frameworks (e.g. OpenAI, LangChain, TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation More ❯

Senior Data Engineer (Kafka Python AWS) London/WFH to £80k Are you a data technologist with fluent Python coding skills who enjoys working with and continually learning new technologies? You could be progressing your career in a senior, hands-on role at a "Tech for Good" company that is enabling life changing education to be accessed by millions … across the globe (currently 22 countries and growing). As a Data Engineer you'll help to design, build and operate the data pipelines and data services that power learning experiences. Collaborating with software engineers, data scientists and product managers, you will grow your expertise while contributing to systems that need to process 25-35,000 messages per second … to support the learning experiences as well as reporting and analytics requirements across the business as it scales to 10's of millions of students. Typically you'll be developing and maintaining reliable data pipelines for both real-time streaming and batch workloads, assisting with the evolution of the Lakehouse, collaborating with analytics, product and machine learning More ❯

delivery Experience with backend development frameworks (e.g., Flask, Django) Ability to work autonomously in an early-stage environment Strong problem-solving and collaboration abilities Nice-to-haves Background in machine learning/AI frameworks (PyTorch, transformers, etc.) Familiarity with cloud infrastructure (GCP, AWS) and CI/CD (GitHub Actions) Experience with SQLAlchemy, Flask and PyQt (or other GUI More ❯

footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest More ❯

data). Knowledge of bioinformatics or large-scale research data. Familiarity with Nextflow, Airflow, or Google Workflows. Understanding of NLP techniques and processing unstructured data. Experience with AI/ML-powered applications and containerised development (Docker). Contract Details Day Rate: £750 (Inside IR35) Location: London - 3 days per week onsite Duration: 6 months (potential to extend) How to Apply More ❯