1 to 25 of 50 Permanent Machine Learning Jobs in Slough

with large, complex datasets to support AI-driven products and insights Assist with feature engineering, model experimentation, and performance optimisation Contribute to data and ML pipelines in cloud-based environments Work with structured and semi-structured data using SQL Support the deployment and monitoring of models in production environments Collaborate … years of experience in AI, machine learning, or software/data engineering (including internships, placements, or academic projects) Strong Python skills for ML and data processing Experience working with SQL and structured datasets Familiarity with cloud platforms and modern data stacks A solid understanding of machine learning ...

Architect Key Responsibilities Lead end-to-end machine learning solution delivery for complex enterprise use cases Translate ambiguous business challenges into structured ML problem statements and solution architectures Design, develop, and optimise advanced machine learning models including: Supervised and unsupervised learning Ensemble methods Deep learning … engineering teams to transition models into scalable production systems Mentor data scientists and uphold modelling standards, documentation, and reproducibility best practices Contribute to reusable ML frameworks, accelerators, and innovation initiatives Required Experience & Qualifications 15+ years of total professional experience, including 8+ years of hands-on experience in machine learning ...

client is looking for an experienced ML Infrastructure Engineer to support the deployment, optimisation and scaling of advanced machine learning models in production environments. This role sits at the intersection of research and engineering, focused on ensuring models are reliably transitioned from experimentation through to large-scale deployment. … improve deployment efficiency and platform scalability Evaluate and integrate third-party infrastructure and inference tooling where appropriate Requirements Proven experience deploying and maintaining ML inference systems in production environments Strong programming experience in Python and familiarity with modern machine learning frameworks Experience working with containerisation and orchestration technologies ...

developing advanced autonomous systems is looking for an AI Developer to join its growing team in London. This role sits at the intersection of machine learning and robotics, focused on building intelligent decision-making and control systems for real-world platforms. You'll be working closely with engineers … researchers to develop AI that operates reliably in complex, changing environments. The Role You'll be responsible for designing and implementing probabilistic and machine learning models that support navigation, planning and adaptive control. A key part of the position will involve integrating these models into real robotic systems ...

Learning Scientist – AI Computational Biology (Remote, UK) Location: Remote (UK-based, London time zone) Type: Full-time Focus: Genomics, single-cell biology, production ML systems ( RNA-Seq AND WGS) The Opportunity We're building production-grade computational methods that turn complex biological data into robust, interpretable biomarkers used daily … molecular data into scalable, reproducible biomarkers with clear assumptions and limitations. Continuously improve methods based on biological insight, feedback, and observed failure modes. Apply ML & AI to biological interpretation Develop and fine-tune deep learning models for biological representation learning (e.g. single-cell, multimodal data). Prototype ...

integrating advanced machine learning directly into their products to outsmart attackers at scale. The Role We are seeking a Senior AI & ML Engineer with a strong foundation in machine learning fundamentals and hands-on experience with modern generative AI and Large Language Models (LLMs). … will work on cutting-edge AI functionality across a flagship cybersecurity platform, building scalable, performant systems that harness the power of data, ML models, and infrastructure. Key Responsibilities: Design, develop, and deploy production-grade ML/AI features — from data prep and model training to inference APIs and monitoring. Integrate ...

weeks (with potential for extension) Status: Outside IR35 Location: Remote (UK-based) Start Date: ASAP About the Role We are seeking an experienced Data & ML Contractor to deliver a proof of concept using static, structured datasets. This is a focused, pragmatic engagement centred on data preparation, feature engineering, and anomaly … basic data modelling concepts Feature engineering: ability to craft interpretable, business-relevant features Anomaly detection experience: practical knowledge of rule-based and statistical methods; ML-based approaches where appropriate Requirements & communication: ability to work with stakeholders, define success criteria, and explain outputs clearly Desirable (Nice to Have) Power BI/ ...

exceptional tech professionals for this role. As a Lead AI Engineer at Kainos, you will deliver advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. … colleagues and more junior developers, providing direction support as you solve challenging problems together. Minimum (essential) Requirements Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection). Strong ...

engineering, model integration, RAG patterns, agentic workflows, and guardrails. Ability to define and measure quality, accuracy, and observability metrics for GenAI features in production. • Machine Learning & Data Science Knowledge: Solid understanding of machine learning concepts, model deployment, and inference APIs. Ability to evaluate model accuracy … manager, ideally leading cross functional teams in a SaaS environment. Track record of delivering complex software projects on time, including customer facing GenAI or ML powered features. • Agile Expertise: Deep understanding of Agile principles and Scrum methodology. Scrum Master or similar certification is a plus. • Cross Team Collaboration: Proven experience ...

communication Other: Mapping/location-based services There's also scope to get involved in machine learning over time. Staxy already use ML to process GPS data and understand travel behaviour, and this will become a bigger focus as the platform evolves. You don't need ML experience … React Native/Expo experience MongoDB Fastify or similar Node frameworks Mapping or location-based services Payments (e.g. Stripe) Any exposure or interest in machine learning Growth & progression Because the team is small and early-stage, this is a role where progression is earned, not capped. As Staxy ...

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 … model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We're looking for a Lead ML Engineer, with a proven track record of delivering ML models to production, to own the ML team in our growing company. What you will ...

basic p.a. (+ double OTE and between 0.25 - 0.5% equity) Our client is a Series B, AI-driven FinTech building applied machine-learning products for enterprise financial institutions. Rather than incremental tooling, they focus on high-impact systems that directly influence revenue, risk, and decision-making across complex … Credible engaging senior financial, technical, and executive stakeholders • High ownership mindset with builder mentality • Consistent record of quota overperformance • Exposure to AI, data, or machine-learning-led products • Background selling into financial institutions • Experience shaping GTM strategy, not just executing it Why this role • Commercially proven AI business ...

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 … 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 ...

Biometrics platform, ensuring alignment with emerging industry standards including NIST FRTE and FIDO Alliance requirements Design and optimize Python-based AI/ML backend systems for biometric processing, with integration points across Ruby and Elixir microservices Collaborate with cross-functional teams to implement privacy-compliant solutions adhering to BIPA, CUBI … deployment using Docker and Kubernetes Proven track record of designing and implementing scalable distributed systems and microservices architectures General understanding of modern AI/ML frameworks (TensorFlow, PyTorch) and model deployment in production Deep understanding of software security principles, cryptography, and privacy-by-design methodologies Experience with agile development methodologies ...

internet actually works Experience with Splunk & SPL SQL or similar data manipulation skills Exposure to network security products HTML, CSS, JavaScript Data Science or Machine Learning experience Location & Flexibility Edinburgh-based engineers: hybrid working (typically 2 days in office) Fully remote options available for the right candidate Cutting ...

core business metrics, product telemetry, customer health signals and financial KPIs Create a scalable semantic layer for LLMs to query reliably Predictive Analytics and Machine Learning Deploy lightweight production ready models including churn prediction, usage forecasting, anomaly detection and upsell indicators Implement monitoring and automate downstream workflows using ...

learning infrastructure. This role focuses on developing and maintaining scalable cloud environments, CI/CD pipelines, and deployment systems that support high-performance ML workloads. Key Responsibilities Design and maintain scalable cloud infrastructure for distributed computing and ML workloads Build and optimise CI/CD pipelines to enable reliable … tools (e.g., GitHub Actions, GitLab CI, Jenkins) Familiarity with monitoring tools such as Prometheus or Grafana Scripting experience (Python, Bash, or similar) Experience supporting ML, GPU, or high-performance computing environments is a plus What's on Offer Competitive salary + equity Flexible hybrid working Generous holiday allowance Learning ...

Their platform captures operational knowledge and turns it into production grade systems that AI can interact with safely and reliably. This is not applied machine learning, not foundation model development, and not experimental agent playgrounds. The work is focused on the engineering around AI: evaluation, control, reliability ...

/CD, monitoring, and cloud‐native engineering Excellent problem‐solving skills and communication Nice to have Experience with LLMs or AWS AI/ML services Knowledge of microservices and secure cloud engineering Experience delivering within Agile teams Contract details 12‐month contract Hybrid – 3 days in London ...

landscape and the challenges and opportunities faced by government agencies Deep knowledge of data analytics and related technologies, including cloud computing, artificial intelligence, and machine learning Excellent communication, presentation, and negotiation skills Proven leadership ability, with a track record of building and motivating high-performing teams. ...

APIs (OpenAI, Anthropic, DeepSeek, Qwen) Exposure to Docker or Kubernetes Familiarity with cloud providers (AWS/Azure/GCP) Coursework or experience in ML, transformers, NLP, or distributed systemsBonus (not required) Interest in real estate Interest in finance or quantitative modelling Experience building agents (LangChain, LlamaIndex, custom architectures) What ...

energy trading, commodities, or financial markets. Understanding of curves, market data, pricing models, algo workflows, and analytics platforms. Quantitative skills in statistical modelling, machine learning, or computational analytics. Experience leading multi-country engineering organisations and large-scale platform transformations. Strong stakeholder management, prioritisation, and delivery discipline in fast ...

talented individuals. Exposure to working with fortune 500 companies and innovative market disruptors. Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud. ...

secure and commercially measurable Key Responsibilities: Technical Leadership Set engineering standards and best practices for AI development Guide architecture across NLP, LLM integration, and ML model deployment Oversee model evaluation, monitoring, and continuous improvement Mentor engineers and foster high-performance technical culture Generative AI & NLP Delivery Design and deploy production ...

limits of how machines understand and analyse complex software systems. You'll be joining as the first platform Engineering hire, partnering closely with the ML and Product teams to design, build, and scale the infrastructure that powers advanced AI models. What You'll Be Doing Design, build, and operate Kubernetes ...