101 to 125 of 189 Machine Learning Jobs in Slough

effective GenAI systems leveraging cloud platforms (Azure, AWS, GCP). Define integration patterns with existing enterprise systems (ERP, CRM, data lakes, APIs). Technical Leadership Collaborate with data scientists, ML engineers, and software developers to implement GenAI models. Evaluate and select appropriate GenAI frameworks, libraries, and model providers (OpenAI, Anthropic, Mistral, etc.). Lead PoCs and pilot deployments, ensuring alignment More ❯

Cultivate talent and foster knowledge transfer to scale expertise across the Labs. Minimum Qualifications • Experience: 12+ years in enterprise architecture or software engineering, including significant leadership of AI/ML platform initiatives. • Technical Mastery: Hands-on expertise with Microsoft 365 CoPilot, Copilot Studio, Azure OpenAI Service, Cognitive Services, and Graph APIs. • Multi-Vendor Integration: Proven track record integrating Google Vertex More ❯

Learning, Data Science, or Computer Science (Russell Group or similar). Strong Python skills (Pandas, NumPy). Experience or exposure to NLP, transformers, and LLMs. Familiarity with ML tools like Weights & Biases or MLflow is a plus. Curious, proactive, and confident working independently. Ideally based near London for occasional client visits. 📩 Interested? Message me here or email mmatysik More ❯

and digital sources. Ensure data governance and compliance frameworks are maintained across all systems. Build and standardise reporting and KPIs using Power BI and Omni. Deploy predictive analytics and machine learning models (e.g. CLV, propensity scoring). Support major transformation projects, including: Finance ERP system integration Fan engagement enhancement via CDP Club-wide reporting rollout F&B and More ❯

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 ML/AI Engineers with strong software engineering expertise who can deliver production-ready AI solutions and upskill others in a fast-paced, consultancy-driven environment. You'll be a senior More ❯

for model improvement initiatives You bring: Strong Python skills (can read/write multi-file codebases) Working with LLM frameworks (LangChain, MCP) Experienced with Leetcode Experience with AI/ML, NLP, or generative AI research Curiosity, problem-solving mindset, and attention to detail Tech Stack needed - Languages: Python (Advanced, LeetCode-level), PHP (basic familiarity) Databases: SQL (basic–intermediate querying & analysis More ❯

gaps, and implement solutions that drive efficiency and innovation. Lead migration and upgrade projects for legacy systems, ensuring minimal disruption and maximizing system adoption across teams. Leverage AI/ML and analytics capabilities to enhance reporting, forecasting, and decision-making within these platforms. Lead end-to-end digital transformation initiatives, modernizing legacy systems and migrating critical business applications to cloud … in at least two areas: Salesforce Sales Cloud, Cloud Networking, Security, AI, Storage, Private/Hybrid/Public Cloud, Data Protection, Disaster Recovery. Industry Trends: Experience with AI/ML-driven CRM solutions and cloud-native architectures More ❯

System Optimisation Engineer | London | Hybrid | Upto £80K DoE Are you an Engineer or recent PhD graduate who has experience in engineering, Optical or AI/ML Systems and test frameworks for the optimisation of AI platforms? 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. Responsibilities: Design automated test frameworks for optical networks using Python, C++ Develop integrated hardware solutions across network systems using hardware instruments, BERTS, Burst-mode test, and oscilloscopes. Engineer optimisation algorithms as part of the test framework platform and metaheuristic … cross-functional teams of hardware, software, embedded and electronic engineers. Skills: Software scripting and Automation experience using Python, C++, C# Experience in generating and scripting algorithms for AI/ML applications, as well as Metaheuristic optimisation. Understanding of cloud-based environments and data pipelines. Degree in either Computer Science, Electrical/Electronic, or related. What’s in it for you More ❯

an Edge AI Engineer, you will bridge research and production, ensuring our models are optimised for on-device inference. If you want to operate at the frontier of deep learning and real-world deployment, this role is for you. What You Will Do Deploy smaller task-specific models built on top of our offline Foundation Model to run on … to 4 years of experience deploying deep learning models to mobile or edge devices, ideally Android. Strong proficiency in Python and Java or Kotlin, with experience translating ML code between languages. Practical experience with mobile inference frameworks such as TensorFlow Lite, ONNX Runtime, or similar tools. Familiarity with GPU acceleration on mobile (e.g., GPU delegates, Vulkan) or ARM-based More ❯

best practices across the development lifecycle. Architecture & Design: Oversee system architecture decisions, ensuring alignment with business goals and scalability requirements. Mentorship: Mentor and guide junior developers, fostering a collaborative learning environment. API Development: Design and build RESTful API endpoints using NodeJS and Express, including detailed API documentation. Database Management: Design, optimize, and maintain complex SQL data models, ensuring efficient … Experience with AWS cloud services, Terraform, Docker, Kubernetes Agile/DevOps: Experience with Agile methodologies, CI/CD pipelines, and project management tools (Jira, Confluence, Bitbucket). AI/ML: Exposure to AI/ML projects or data analytics. Benefits and Perks Our comprehensive offering is designed around flexibility, well-being, and continuous growth, ensuring that you have the support More ❯

a future where human well-being is safeguarded while closing the gaps in critical global labour needs. What You’ll Do: Own and manage the full lifecycle of both ML models and core infrastructure - from development and deployment to monitoring and continuous improvement. Build and maintain robust CI/CD pipelines for both software and ML workflows. Ensure reliability, scalability … observability, and security of production systems and ML infrastructure. Automate deployment, orchestration, and environment management using modern DevOps tooling. Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production. Proactively detect, troubleshoot, and resolve infrastructure and model performance issues. Stay up to date with industry best practices in DevOps, MLOps, and infrastructure engineering. … procedures clearly and thoroughly. We’re Looking For: Proven experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g. More ❯

experimentation and deployment. Ensure compliance with relevant data protection, governance, and security standards (e.g. ISO 27001, AI governance). What We’re Looking For Strong technical grounding in AI, machine learning, and solution architecture. Experience implementing or scaling AI tools such as Copilot, LLM integrations, or automation platforms. Proven ability to deliver technology solutions in complex, regulated industries More ❯

from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ More ❯

Fimador is currently recruiting for a Principal Data Engineer to join a team developing cutting-edge data-driven products. This role is helping the firm pioneer AI and ML in the global environment. This role is central to designing and maintaining scalable pipelines, data platforms, and integrations, while ensuring solutions meet regulatory standards and align with architectural best practices. Key More ❯

to copyright and IP challenges. The Product Manager must have: Proven product management experience in SaaS, platforms, or data-driven products. Strong knowledge of data exchange, APIs, AI/ML and how they underpin product development. Analytical, customer-obsessed, and able to simplify complexity into clear product decisions. Comfortable working closely with engineers, data specialists, and cross-functional teams. Excellent More ❯

expertise with modern data stack tools (e.g., cloud data platforms, dbt, orchestration tools). Strong understanding of data governance, quality, and compliance in regulated environments. Familiarity with AI/ML technologies and their real-world application in finance. Proven leadership, stakeholder engagement, and team development capabilities. Excellent problem-solving, communication, and presentation skills. Location: London Please note, our client is More ❯

will bring: 8+ years of experience selling IT services, solutions, or consulting engagements. Demonstrable expertise in solution or consulting-led selling, preferably in areas such as: AI-driven solutions (ML models, automation, intelligent data extraction, knowledge graphs, etc.) Data engineering and modernization (data migration, cloud, integration, governance, analytics platforms). Custom software development and digital transformation projects. Strong experience in More ❯

speed — this is an early-stage, high-autonomy environment. Tech Snapshot Python 3.11+, FastAPI, SQLAlchemy, Alembic, PostgreSQL AWS (IAM, SES, Bedrock) Event-driven architecture, API-first development AI/ML pipelines integrated into core workflows Why This Role Take over a Lead position and make it your own, this isn’t building a feature, it’s building the company’s More ❯

About Tredence: Tredence is a global analytics services and solutions company. Our capabilities range from Data Visualization, Data Management to Advanced analytics, Big Data and Machine Learning. Our uniqueness is in bringing the right mix of technology and business analytics to create sustainable white-box solutions that are transitioned to our clients at the end of the engagement. We More ❯

and memory features. Ideal Candidate: Candidates may come from a range of roles that combine product sense, technical execution, and deep familiarity with AI tooling, such as: AI/ML Product Manager or Technical Product Owner in a startup or tech company, with hands-on involvement in model integration or intelligent systems. Technical Founder or Co-Founder of an AI More ❯

Change Software Forever QA slows the world down. Flaky tests kill trust, stall releases, and bleed engineering velocity. Duku AI is ending that era. We’re building autonomous agents that think like engineers: they run every critical user journey, catch More ❯

Job Title: 3D Computer Vision Engineer Location: London, UK (Hybrid Working) Type: Permanent Key Responsibilities: Lead development of machine learning systems for digital human avatar generation using inverse rendering and Unity-based visualization. Design and implement mesh and texture warping algorithms (energy-based methods, Thin Plate Splines). Develop inverse rasterization systems and facial feature extraction algorithms using … Design Unity and Unreal Engine plugins for real-time physics, rendering, and visualization. Develop modules for 3D reconstruction, mesh processing, and camera calibration using C++ and Python. Implement reinforcement learning systems for animation synthesis and optimization-based cloth simulation. Build … OpenGL/Compute shaders and GPU kernels for performance-critical 3D applications. Requirements: Degree in Computer Science, Engineering, Mathematics, or related field, or equivalent experience in 3D graphics or ML systems. Strong in C Python, 3D graphics pipelines, inverse rendering, and geometry processing. Experience with GPU programming (OpenGL, CUDA, Vulkan), PyTorch/TensorFlow, and real-time engines (Unity/Unreal More ❯

trading experience • Python (NumPy, Pandas, SciPy) • SQL or time-series DBs • Linux & distributed systems expertise • Strong communication & market intuition ✨ Bonus Skills • KDB+/Q, Haskell, or other functional languages • Machine learning (scikit-learn, etc.) • Quant tools & mathematical background • Docker, Kubernetes, AWS 📍 Location : London (1 remote day per week) 💼 Type : Full-time | Competitive comp + performance bonus Ready to More ❯

needs. Hands-on, pragmatic mindset—comfortable diving into code and systems to understand trade-offs and guide delivery. Curiosity and a growth mindset—keen to expand into areas like machine learning systems or mobile integration if not already experienced. Why Join? Our client offers a genuinely collaborative, inclusive environment with the freedom to take ownership and deliver impactful More ❯

most latency-sensitive domains in tech. Core Responsibilities Architect and optimise distributed compute pipelines across CPU/GPU, memory, storage, and interconnects Profile and tune performance of AI/ML, simulation, and research workloads across containerised environments Collaborate with Software and Infra teams to identify architectural bottlenecks and implement low-level improvements Evaluate and integrate HPC technologies to support scale More ❯