26 to 50 of 122 Machine Learning Jobs in Wolverhampton

with a focus on data manipulation and engineering. A genuine interest in data science and a drive to expand your skillset into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimising workflows. Excellent communication and teamwork abilities to thrive … quality across the organization. Write clean, efficient, and reusable Python code tailored to data engineering tasks. Collaborate with data scientists and stakeholders to support machine learning initiatives and advanced data modeling. Drive innovation by researching and integrating the latest cloud-based technologies and frameworks. Opportunities to learn, cross … skill in AI and contribute to a culture of learning, excellence, and collaboration. Teammates’ benefits : Bonus Schemes Life Assurance Private medical cover Group income protection Great Company Pension Enhanced Sick Pay Enhanced Family Leave Pay Volunteering Leave Teammate recognition scheme Loyalty award scheme 24/7 access to EAP More ❯

enhance customer experience and personalise interactions. Create predictive models for demand forecasting, inventory management, and dynamic pricing to optimise operations and reduce costs. Build machine learning models for content recommendation engines and audience insights. Design AI-driven marketing tools, customer segmentation models, and automated A/B testing … frameworks (e.g., TensorFlow, PyTorch, Keras). Strong knowledge of data analysis, visualisation tools, and big data technologies (e.g., SQL, Hadoop, Spark). Experience with machine learning techniques, including NLP, recommendation algorithms, and computer vision. Familiarity with cloud platforms (Azure) for deploying AI solutions . Strong problem-solving skills More ❯

initiative and pragmatism to challenges in logistics, scheduling, operations, and data visibility. Platform evolution: Contribute to the roadmap as the platform grows into AI, machine learning, and advanced data services. Requirements: Proven experience in modern frontend or full-stack development (React, Flutter, Django, Python). Ability to take … Bonus If You Have: Experience working with logistics, operations, or infrastructure platforms. Familiarity with cloud-native tooling and DevOps practices. Interest in data science, machine learning, or operational analytics. More ❯

to plug directly into the world's most impressive DeepTech businesses in the world to place the TOP 1% across Robotics, Computer Vision, GenAI, Machine Learning, Deep Learning, Reinforcement Learning + the works. I could keep going, so let me skip to the logistics of the More ❯

AI projects pushing the boundaries of content creation. We are searching for someone with knowledge of compilers to evaluate and improve performance of different machine learning frameworks. Applying advanced graph optimization techniques to maximize utilization of GPU HW resources. If you hold experience working with Compilation technologies and …/OpenSource/Linux/C/C++/Low level/Hardware/debuggers/Fortran/OpenCL/CUDA/MLIR/Machine Learning/GPU/GPGPU By applying to this role you understand that we may collect your personal data and store and process More ❯

Deep Learning Researcher Cambridge/London Salary - Competitive About Us: MicroTECH-Global are working with a global leader in advanced computing, with a dedicated research team focused on applying artificial intelligence to next-generation semiconductor design and optimization. Role Overview: We're seeking a motivated Deep Learning Researcher … large language models (LLMs), reinforcement learning, and optimization for chip design and AI system integration. Responsibilities: • Conduct and publish cutting-edge AI/ML research • Design algorithms for chip optimization and intelligent systems • Collaborate with engineering teams to integrate AI into real-world tools • Stay current on AI trends … and contribute to open research Requirements: • PhD or equivalent experience in ML, AI, CS, physics, or mathematics • Strong publication record (NeurIPS, ICML, ICLR, etc.) • Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) • Solid grasp of ML techniques; independent and team-oriented mindset Preferred: • Experience in LLMs More ❯

Location: Abu Dhabi, UAE Benefits: Work with cutting-edge technology through modern infrastructure and automation projects Thrive in a growth-focused environment that prioritizes learning, innovation, and career development Competitive salary and a comprehensive benefits package Job Summary: As a Senior Data Engineer , you will be responsible for designing … lineage, and auditability across pipelines and environments. Machine Learning & Advanced Analytics Enablement: Collaborate with data scientists to prepare and serve features for ML models. Maintain awareness of ML pipeline integration and ensure data readiness for experimentation and deployment. Documentation & Continuous Improvement: Maintain thorough documentation including technical specifications , data More ❯

Data and AI team . This role is ideal for someone who has a strong track record of designing, developing, and deploying AI/ML solutions in a business context—from ideation through to production. You will play a pivotal role in shaping and implementing advanced AI-driven insights and … performance across digital, CRM, and relationship management channels for our Financial Services client. Key Responsibilities End-to-End AI Solution Delivery: Lead AI/ML initiatives from conceptual design to production deployment, including problem scoping, data acquisition, model development, validation, deployment, and monitoring. AI-Driven Marketing Insights: Develop predictive and … practices and tools (e.g., MLflow, Airflow, Docker, cloud platforms) ensuring performance, reliability, and governance compliance. Innovation & Research: Stay current on advancements in AI/ML and proactively bring forward new ideas, frameworks, and techniques that can be applied to marketing use cases. Data Strategy: Collaborate with data engineering teams to More ❯

Forward Deployed Product Engineer (Python) 📍Fully Remote within the UK 💷 Up to £150k + Stock + Benefits ⚙️ Series C, Developer Tooling/ML Deployments Join a US scale-up on a mission to empower Engineering teams to deliver their best work, through simplifying the deployment of Machine Learning … Engineer to join the UK team! About the Role As a Forward Deployed Engineer you'll collaborate directly with customers to understand challenges, engineering ML-based deployment solutions. You'll be instrumental in ensuring clients achieve optimal outcomes with their models, focusing on aspects like optimisation, scalability & efficiency You’ll … from world-class tech businesses like NVIDIA, Amazon, Datadog, Vercel, Meta, GitHub and Uber Key Responsibilities Partner with customers to identify and address their ML deployment needs Implement and optimise ML solutions using Python, open-source tools & infrastructure Collaborate with cross-functional teams to enhance product features, based on client More ❯

newly formed, high-performance team building enterprise-grade AI from the ground up. What You’ll Be Doing: Designing, developing, and deploying AI/ML solutions using Python and modern ML frameworks. Building and fine-tuning Large Language Models (LLMs) , working with embedding models and vector databases. Creating agentic workflows … cloud infrastructure (or similar). Supporting ongoing AI experimentation and driving continuous model improvement. Keeping up to date with research and innovations in AI, ML, NLP, and generative models. What We’re Looking For: Strong proficiency in Python and experience with ML frameworks (e.g. PyTorch, TensorFlow). Solid understanding of … machine learning fundamentals , including supervised/unsupervised learning. Experience with cloud environments – ideally Azure , but AWS or GCP also considered. Familiarity with LLMs , prompt engineering , and vector databases (e.g. Pinecone, FAISS). Practical experience building production-ready AI applications. Ability to work on-site in Newcastle in a More ❯

AI Tech Lead – Agentic AI, LangGraph, ML, Python, CI/CD, LLM’s, Startup, UK Remote About the Role A mission-driven, early-stage startup is looking for an AI Tech Lead to join its growing team. This is a hands-on leadership role where you’ll help shape a … on employee wellbeing in high-stress industries—and the mission is just getting started. You’ll lead a cross-functional team of backend and machine learning engineers, guiding architecture, mentoring team members, and staying close to the code. This is a rare opportunity to build both product and … in a fast-moving environment with purpose at its core. What You’ll Do Lead and mentor a senior engineering team working across backend, ML, and infrastructure. Play key role in design, development, and deployment AI applications using LLM's, Agentic framework, and other related technologies Own technical direction for More ❯

strategic planning and execution. Architect and develop data solutions, spanning from backend infrastructure to data model design and the implementation of data science and machine learning algorithms. Lead development activities, mentor team members and share your knowledge in a context of continuous improvement. Continuously enhance the quality of More ❯

Jenkins, GitLab CI/CD, CircleCI). Preferred Qualifications Master’s degree in Computer Science, Software Engineering, or related field. Experience with Python-based machine learning libraries is a plus. Experience with data pipelines and Big Data frameworks. Familiarity with Agile methodologies, especially Scrum or Kanban. Why Work More ❯

robust data platforms across multiple cloud providers. Implementation of secure data processing environments for classified information, create automated deployment pipelines for data applications and ML models, and design comprehensive multi-cloud solutions with robust monitoring systems. Leading technical transformation initiatives, working closely with data engineering teams to support their infrastructure More ❯

Brainpool is a fast growing AI start-up, providing custom AI services for business since 2017. Brainpool network of 500 top-level AI and Machine Learning experts supporting delivery of our projects include PhD and MSc-level scientists from top universities such as UCL, Oxford, Cambridge and Harvard. … a MSc in Mathematics, Physics, Computer Science, or an Engineering discipline (STEM). Desirable knowledge and experience Understanding of or working with AI/ML algorithms and data science. Docker and Kubernetes. Experience with Large Language Model stacks, vector databases, Haystack, open-source (Mistral, Falcon, Llama 3), and closed-source More ❯

DevOps/CloudOps best practices - test driven development, CI/CD, etc. Desirable: prior experience with Azure and NoSQL Desirable: experience and interest in machine learning, data engineering, and data visualization Cultural Fit: Represent the firm in a professional manner and uphold its values and culture in all More ❯

in cross functional teams and explain complex technical concepts to non-technical stakeholders. Nice to Have: Experience with OCI cloud-based services Experience with machine learning or AI in security applications. Experience in Agile methodologies and using project management tools like JIRA and confluence. Knowledge of Software Assurance More ❯

in cross functional teams and explain complex technical concepts to non-technical stakeholders. Nice to Have: Experience with OCI cloud-based services Experience with machine learning or AI in security applications. Experience in Agile methodologies and using project management tools like JIRA and confluence. Knowledge of Software Assurance More ❯

to integrate seamlessly into enterprise applications, particularly within the financial sector. A company of 10, the Co-Founders have PhDs in the AI/ML field & are looking for their 3rd and 4th Backend Engineers to keep up with client demand for Product Development What You’ll Do Design, develop More ❯

USA, Europe, LATAM, and APAC. We are advisors, engineers, and designers solving industrial challenges with innovative technologies. We are acknowledged for our expertise in Machine Learning, AI, Robotics, IoT, XR, and Big Data. Our recognition extends to industry leaders including Nvidia, Google, Amazon, and Microsoft, as well as … in presenting complex technical concepts to diverse audiences Educated in Mechanical Engineering, Mathematics, Computer Science, Physics, or a related field, and excited about continuous learning AND YOU WANT TO Lead the creation of groundbreaking simulation models as part of tailored Digital Twin and Industrial Metaverse solutions, closely collaborating with … leveraging the latest technologies and methodologies Stay at the cutting edge of technological innovation by learning, applying, and shaping advancements in AI/ML, IoT, and next-generation simulation technologies TOGETHER WE WILL Play a pivotal role in transforming global industries through advanced simulation and Digital Twin solutions Deliver More ❯

The Company: At Amber Labs, we are a cutting-edge UK and European technology consultancy that prioritises empowering autonomy, promoting experimentation, and facilitating rapid learning to provide exceptional value to our clients. Our company culture is centred around collaboration, where all colleagues, regardless of their role, work together to … liaise between clinicians, vendors, and technical teams. Desirable: Experience with hybrid data solutions, integrating on-premise and cloud data architectures. Background in data analytics, machine learning, and AI-driven insights for healthcare applications. Knowledge of NHS Digital initiatives, including Shared Care Records, the NHS App, and Population Health More ❯

directly with customers to understand their needs, shape implementations, and ensure fast, smooth rollouts. You’ll also collaborate closely with the core engineering and ML teams to feed back insights and drive product improvements. This is a hybrid role blending software engineering , solution architecture , product thinking , and customer-facing communication … TypeScript Front-end work using React Cloud infrastructure via AWS APIs, data pipelines, and custom tooling for real-world deployments Opportunity to work with ML/AI systems at the integration level (no prior ML required, but a plus) 🎯 What They’re Looking For: A top-tier academic background - Oxbridge … equity stake - true founding engineer level Direct impact on customer success, product direction, and technical roadmap Work with a world-class team of engineers, ML experts, and operators A chance to define the deployment function at an AI company from day one If you’re a highly capable engineer who More ❯

tasks across internal systems. Monitor the performance of deployed models, ensuring they align with business goals and deliver clear ROI. Document workflows and share learning across teams to support wider AI adoption. Stay current with developments in AI, automation, and machine learning tools and techniques. What We … in a hybrid or remote environment. Experience working in agile environments and iterating based on user feedback. Preferred Skills: Background in deploying AI/ML models to production (MLOps). Experience using cloud platforms such as Azure. Interest or experience in building autonomous agents or internal AI assistants. Why Join … package. Work on cutting-edge AI projects that have immediate business impact. A collaborative, forward-thinking, and experimentation-friendly work environment. Opportunities for continuous learning and career development. Location: Remote with very occasional travel (UK-based) Salary: Up to £90,000 + typical benefits If you’re an experienced More ❯

deliver insights no one else can, developing products that combine satellite imagery and expert ground truth with the very best observational science and deep learning tools to support clients across the world, powering everything from smallholder farming programmes in Africa to biodiversity net gain compliance in the UK. We … will be instrumental in building, managing, and optimising our data infrastructure across both on-premise HPCs and cloud platforms. You’ll work closely with ML engineers and researchers to wrangle, clean, and prepare large datasets—including geospatial data—for training our large-scale AI models. Key Responsibilities: • Architect, design, and … Redshift, Glue, Step Functions). • Ingest, clean, wrangle, and preprocess large, diverse, and often messy datasets—including structured, unstructured, and geospatial data. • Collaborate with ML and research teams to ensure data pipelines align with model training requirements and schedules. • Develop and maintain robust metadata management and data versioning strategies. • Optimise More ❯

LLM. 🔧 Tackle complex engineering challenges: Think scalable infrastructure, observability, CI/CD pipelines, and model deployment. 🤝 Work cross-functionally: Partner with product managers and machine learning teams to deliver practical, user-facing AI features. 🏦 Join a company with serious momentum: This team sits within a well-established, profitable … in software engineering (Python, Go, Kotlin, JS, etc.) Familiarity with modern cloud infrastructure (AWS, GCP, Docker, Kubernetes) Some background or curiosity in AI/ML — personal projects or online courses count A builder’s mindset — excited to learn, prototype, and ship What’s on Offer: ✈️ Travel perks, sabbaticals, and plenty More ❯