26 to 50 of 59 Machine Learning Jobs in Swindon

specialists, they're deliberately building a junior data science pipeline — bringing in smart, curious people early and training them properly. If you've been learning data science, working on projects, or trying to break into the field, this role is designed for you. What You'll Actually … role. The Good Stuff £40,000+ starting salary Genuinely insane benefits package Fully remote working (UK based) Clear progression into Data Scientist/ML roles Structured onboarding and mentoring Flexible working hours Supportive, non-corporate culture Long-term opportunity with real growth How to Apply If you're based ...

multi-million-pound AI transformation programme. This is a rare opportunity to join a build-phase initiative that has already developed advanced machine learning models and is now focused on productising these for real-world, high-impact internal use. You'll be stepping into a Leading AI position … suite engagement in a global organisation with a multi-£billion turnover. What We're Looking For Senior engineering authority with proven delivery of ML/MLOps platforms into production. Hands-on expertise in Python, Cloud and LLM solutions and model lifecycle management. Ability to operate in a high-visibility, high ...

various price management models. Create visualisations and dashboards to communicate analysis and model outputs. Collaborate across the business to automate data science and machine learning applications. Actively participate in our data community to build new capabilities. Job requirements: Preferably some experience in pricing optimisation and demand forecasting. Analytical ...

market and fundamental data. The Data Business Analyst will join the Data Centre of Excellence, encompassing Data Analysis, Data Architecture, Data Intelligence and Machine Learning experts. This Data team helps the Energy traders make use of their data to help make investment and risk decisions. This ...

Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step ...

enhanced tools (Copilot, AI Foundry, Fabric AI services). Knowledge of data governance, metadata, and data quality frameworks. Experience with forecasting, statistical modelling, or ML techniques. Relevant Microsoft certifications (Power BI, Fabric, Data Analyst Associate). If this is of interest and you're looking to take your career ...

reporting). Familiarity with PPM, EPM, and integrations with third-party systems. Understanding of cloud technologies, SaaS delivery, automation frameworks (RPA/AI/ML), and digital assistants. Experience with intelligent automation, analytics, or process mining is highly advantageous. Soft Skills Excellent communication, leadership, and stakeholder management abilities. Strong problem ...

modern AI ecosystems including generative AI, agentic systems, AI copilots, and orchestration frameworks (e.g. LangChain, AutoGen, CrewAI). Understands how to combine traditional ML and analytics with emerging AI architectures to deliver measurable commercial value. Evolved beyond a purely data science or analytics focus — can bridge data foundations with GenAI ...

have exceptional coding skills, ideally with Python and/or TypeScript You're genuinely excited about working with LLMs, Computer Vision and Machine Learning You're not afraid of putting in the work; you'll be offered generous equity on top of your salary You consider yourself ...

scalable, secure, reliable, and enterprise-ready. Key Responsibilities Own the full platform architecture, including ingestion, scoring, data stores, APIs, and dashboards. Lead AI/ML-powered enrichment and scoring systems. Build and scale microservices, event-driven pipelines, and automated intelligence workflows. Harden cloud infrastructure and implement security, compliance ...

from signal and evaluate information quickly Focus on business value rather than building tech for the sake of it Bonus points for AI or ML production experience including MLOps and model deployment Go, Docker, Kubernetes, infra as code Experience with healthcare standards such as FHIR, HL7 and DICOM What ...

robust tracing (OpenTelemetry) and automated CI/CD evaluation gates (faithfulness, hallucination detection) to prevent regression. Qualifications Must Haves: 5+ years of backend or ML engineering experience, with a recent deep focus on LLM application layers. Expert-level Python: Deep familiarity with FastAPI, asyncio, and pydantic. Real-Time Experience: Proven ...

specific training pathways that are fully government funded. Our track record (proof we can deliver) Originated at Imperial College London, where we founded the Machine Learning Society with DeepMind sponsorship and educated 6,000+ students pro bono. Selected by NVIDIA to deliver specialised training via their Deep Learning … provision. Your mandate is to protect outcomes (for learners and employers), protect funding (ESFA rules and audit readiness), and raise the bar on teaching, learning, assessment, and operational rigour so that quality scales as we scale. This is a role for someone who can operate with high autonomy ...

guild standards to ensure consistent delivery. What We're Looking For Proven experience in leading data analytics Hands-on expertise in data mining, machine learning and predictive analytics. Strong background in process mining tools like Celonis, UiPath, RE-infer, Celonis, Software AG, signavio Deep understanding of Business Process ...

collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world's largest brands. Qualification path No previous professional experience is required to apply to this role … open book qualification exam that will determine your suitability for the position and complete ID verification. Our team will provide you with guidelines and learning materials before your qualification exam. You will be required to complete the exam in a specific timeframe but at your convenience. Equal Opportunity ...

insights — and are seeking an AI Engineering Lead to define and deliver this vision. Job Summary & Purpose Own and drive Akixi's AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi's products and analytics platforms. As the AI Engineering … roadmap. Architect scalable AI solutions integrated into Akixi's SaaS analytics platform. Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics. Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour. Conduct research, proof-of-concepts, and feasibility ...

technology at the core of modern AI infrastructure. Our client develops an enterprise platform that simplifies how organisations deploy, manage, and operate AI/ML workloads across Kubernetes environments. The product is designed for performance-critical AI use cases, enabling customers to run GPU-accelerated workloads at scale with reliability ...

lifecycle of high-performance GPU clusters using Terraform and Ansible. Maintain the stability and performance of large-scale Linux environments supporting AI/ML training workloads. Collaborate with vendors and internal teams to troubleshoot hardware and networking bottlenecks (latency, throughput). Implement monitoring solutions (Prometheus/Grafana) to visualise ...

Data Science Manager We are seeking a Data Science Manager to lead the development and deployment of advanced analytics and AI/ML solutions. This role involves applying data science techniques to deliver actionable insights and build scalable data products. Key Responsibilities Design and implement AI/ML and Generative … effectively. Requirements Bachelor's or Master's in Data Science, Statistics, Computer Science, or related field. 5+ years of experience in data science and machine learning. Strong proficiency in Python, SQL, and open-source tools. Experience with Generative AI frameworks and production-ready model deployment. Familiarity with cloud platforms ...

data analysis) to uncover insights that inform recruitment strategies Work with time-series & cohort data for trend analysis and performance metrics Deploy statistical and ML algorithms (regression, clustering, classification) in scalable pipelines Communicate findings & recommendations with clear visual and written formats to stakeholders Requirements Pursuing (or recently completed) B.Tech/… fields Proficiency in Python + core libraries (Pandas, NumPy, Matplotlib/Seaborn, Scikit-learn) Familiarity with SQL for querying relational datasets Sound understanding of ML fundamentals – supervised/unsupervised learning methods Strong statistics foundation – distributions, hypothesis testing, probability Ability to interpret data, derive insights, and present conclusions clearly Strong ...

with rapid commercial traction across top UK & US firms, they are scaling fast and this is the time to join. The Role: AI/ML Engineer – Agentic Systems You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers … roadmap for intelligent systems and ensuring scalability, compliance, and robustness. Requirements Strong programming experience with Python. Proven track record building production-grade AI/ML systems (emphasis on implementation and integration over pure research). Practical experience with AWS (and ideally Terraform, GitLab CI). Experience with agentic systems ...

application, and technology architectures Ensure scalability, security, and resilience across infrastructure and software platforms Innovation & Transformation Identify opportunities to leverage emerging technologies (AI/ML, IoT, cloud-native, etc.) across the group Identify and drive modernisation initiatives such as microservices adoption, cloud migration and others. Collaboration & Leadership Partner with leaders … wellbeing. We recognise the development of our people is vital to the ongoing success of the business and proudly promote a culture of continuous learning and improvement, along with opportunities to develop and progress a successful career with us. The CitNOW Group is an equal opportunities employer that celebrates ...

models, and retrieval-augmented generation (RAG) systems Design evaluation frameworks addressing bias, hallucination detection, and business impact Explore novel AI applications while integrating traditional ML techniques where appropriate Who We're Looking For For Senior Engineers: 5–8+ years building robust, scalable software systems Full-stack development capability across modern … hands-on experimentation with tools like ChatGPT, Claude, GitHub Copilot For Principal Engineers: 8+ years delivering complex, enterprise-grade software Proven AI/ML expertise with production deployment experience Advanced knowledge of transformer architectures, foundation models, and prompt engineering Senior stakeholder engagement experience and ability to lead high-level ...

using Python, Java, or Node.js backends. Collaborate with architects to define scalable and secure AI service architectures. Experience in the following Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous ...

/EU) | Outside IR35 | 6 months (likely extension) A leading UK platform is hiring 2 x Data Scientists to stabilise and improve production ML models while supporting key NLP projects. This is a hands-on applied DS role, not a generic GenAI/LLM position. You'll Work On Applied … core): • Forecasting (demand/volume) • Propensity, churn, classification • Tree-based models & classical ML • Handling imbalanced datasets • Debugging, retraining & maintaining 13 production models Modern NLP (secondary but required): • Transformer-based text classification (BERT/DistilBERT/RoBERTa) • Fine-tuning classification heads • Embeddings + cosine similarity search • Supporting LLM-adjacent work ...