76 to 100 of 123 Machine Learning Jobs in Wolverhampton

who are looking for an established Data Platform/DevOps Engineer, with strong hands-on experience across SageMaker in AWS, for a Data/ML focused project. You’ll be expected to work in a cross-functional team, devised of Platform Engineers, Data Engineers, Machine Learning Engineers and More ❯

proficiency in SQL and other programming languages used for data analysis. Advanced expertise in Power BI or similar data visualisation tools. Solid understanding of machine learning platforms and algorithms. Vision, insight, and the drive to lead change and deliver meaningful results. What you'll get in return A More ❯

or AI workload contexts. Familiarity with distributed file systems and advanced storage configurations. Understanding of GPU virtualization and multi-tenant HPC architecture. Exposure to machine learning frameworks and AI optimization workflows. Scripting skills in Python, Bash, or similar for automation and tooling. Personal Attributes Proactive and self-motivated More ❯

/NPU/GPU/CPU/TPU architecture Vector/Matrix/Scaler units simulation/modelling - System C/TLM/UML ML frameworks - Tensorflow/PyTorch/Python or similar DSP algorithms - FIR/IIR filters or FFT... IP design, system design, system architecture low-power, performance More ❯

contributing to commercial KPIs and showcasing the value of data-driven marketing. Design and implement advanced analytics and data science solutions (including AI/ML) to solve business challenges. Translate data into insight - turning complex analysis into strategic, actionable recommendations. Lead client projects with strong communication, timely delivery, and measurable More ❯

contributing to commercial KPIs and showcasing the value of data-driven marketing. Design and implement advanced analytics and data science solutions (including AI/ML) to solve business challenges. Translate data into insight - turning complex analysis into strategic, actionable recommendations. Lead client projects with strong communication, timely delivery, and measurable More ❯

Product Manager – TechBio SaaS Platform | Fully Remote | Full-Time Start Date: ASAP Join one of Europe’s most exciting TechBio startups, where machine learning meets biology to redefine how we discover and design better medicines. We're looking for a Product Manager to take the lead on our … cutting-edge SaaS platform that models cell behaviour using deep learning AI. You’ll work alongside world-class scientists and engineers to help deliver powerful tools that accelerate drug discovery across the biotech and pharmaceutical industries. What You’ll Do Own the product lifecycle from market research to launch More ❯

join a business where you can take part in additional projects that will allow you to scope out additional skills in data engineering, AI, Machine Learning and Power BI. Perfect for personal development! If you have a strong desire to work in a smaller team and develop in More ❯

and build tooling to ensure successful use of Nscale’s training, fine-tuning, and inference APIs. Requirements 5+ years of experience building and deploying machine learning systems in production environments. Proficiency in Python and PyTorch, with a strong understanding of transformer architectures, LLMs, and multimodal generative models. Expertise More ❯

want to help scale something from zero to one, this is the role for you. We're looking for: Strong product-focused AI/ML engineering experience Experience fine-tuning LLMs and generative AI models Ideally, you'll have experience building voice agents (TTS, STT) Entrepreneurial, independent, and ready to More ❯

Data/ETL Testing Ensures accurate data flow, transformation, and validation in data pipelines. Works with SQL, Informatica , Talend , SSIS , Snowflake . AI/ML Model Testing Test models for accuracy, bias, and performance. Involves validating model predictions, fairness, and ethical AI compliance. Seniority Level Associate Industry IT Services and More ❯

business acumen and commercial awareness Experience communicating to different personality types, scenarios and managing high pressure scenarios. A passion for technology and AI/ML Innovative and take risks to create new processes and create efficiencies Comfortable in giving and receiving constructive feedback Comfortable working in a start up-like More ❯

Europe. We are scaling, and building a team of consultants who are passionate about placing the best candidates within technologies including; data, AI and machine learning. Following our success in our core markets, we are expanding and are looking for experienced permanent recruiters with ambition to join the team. … client partnerships • Knowledge of recruitment and sourcing processes • Strong billings and evidence of working to financial targets • Experience across Software Development, Data, AI or machine learning Perks and Benefits Unlimited Holiday - Unlimited time off plus a sabbatical for 6 weeks after 5 years of service Flexible Benefits Scheme More ❯

such as improving the sophistication of models and deploying the latest data science techniques. This vacancy can be fully remote. Responsibilities: Building predictive/machine learning models Predict perils for claims/severity Producing reports and presentations to communicate the results of actuarial analyses to key stakeholders Requirements More ❯

MI/Azure SQL SB, Landing Zone deployments Understanding of Well-Architected and Cloud Adoption Frameworks Familiarity with Azure Containers, Synapse, Data Lake, Azure ML, vWAN, Azure Arc Knowledge of ADO, Bicep, Terraform, and PowerShell Certifications: AZ-305, AZ-400/AZ-500/AZ-700, AWS Cloud Practitioner, AWS More ❯

Build Your Own Division in AI, Robotics & Emerging Tech 🤖 Join a highly successful technology & engineering recruitment business with a dedicated focus on AI/ML, Computer Vision, Robotics, and Autonomy . The company has made a significant impact in these high-growth markets and is looking for an experienced international More ❯

scalable, intelligent applications that serve thousands of users. Responsibilities: Design, develop and maintain robust backend systems using Ruby (Rails or Sinatra) Integrate AI and machine learning tools/APIs into our applications (e.g. OpenAI, Hugging Face, TensorFlow or custom models) Collaborate with frontend developers, data scientists and product More ❯

the power markets and shape the trading logic that drives their platform. This isn’t a traditional utility or desk role. The team combines machine learning with real-time control of devices like EV chargers, home batteries, and heat pumps; shifting energy use to when it’s cleanest More ❯

AI-powered services and client packages. Qualifications: Proven experience delivering successful AI and automation projects in a commercial environment. Deep knowledge of AI technologies, machine learning frameworks, and automation tools. Strong leadership and team management skills, with experience building and guiding high-performing teams. Excellent communication skills, with More ❯

with a HealthTech company in Cambridge who are seeking a Salesforce Developer with life sciences experience to join their team. Utilising genomics, AI, and machine learning to revolutionise the healthcare industry, they need you to come in and support their one-of-a-kind product aimed at reducing More ❯

Join an innovative, rapidly expanding company at the forefront of the RISC-V revolution developing IC that has high-impact applications across machine learning, aerospace and automotive. Flat structure with a highly diverse workload and excellent benefits. Senior Verification Engineer Responsibilities: Develop and maintain verification infrastructure in collaboration More ❯

chips shipped annually. In this role, you will be responsible for the development and design of reference systems targeting applications such as Computer Vision, Machine Learning, Radar, Automotive, and other high-performance domains. As an ASIC Design Engineer, you will bring strong experience in IP integration and SoC More ❯

understand their challenges. You will then use your experience to advise on solutions that can benefit the business and help improve performance using AI, ML and Advanced Analytics. The client is committed to becoming leaders in their industry within the UK and is renowned for offering fantastic opportunities to move … monitor on-going performance, making changes where necessary To be successful in this role you will have . Commercial experience working in AI/ML Strong programming skills with Python and other languages such as R or Java Strong cloud experience in an Azure environment (AWS or GCP also beneficial More ❯

multi-technology stack spanning Laravel backend, Nuxt frontend, and Python AI services, while driving the scalability of our cloud-native infrastructure. Key Responsibilities: AI & ML Leadership: Lead development of our Python-based AI orchestration application deployed via containerised services with python engineers and your seld Manage our multi-modal LLM … full-stack development and AI engineering Establish best practices for cloud-native, multi-technology development environments Drive architectural decisions spanning web technologies, AI/ML systems, and cloud services Implement robust testing, deployment, and monitoring practices across distributed systems Evaluate emerging technologies and cloud services for platform enhancement Required Experience … degree or equivalent experience 7+ years engineering experience with 3+ years in leadership roles Strong background in both traditional web development and AI/ML systems Experience with our core technologies: Laravel/PHP, Vue.js/Nuxt, Python Proven track record with cloud platforms (AWS preferred, but multi-cloud experience More ❯

bioinformatics use cases Build collaborative features for team-based structural analysis Design educational components that explain complex biology concepts Required Technical Skills: AI/ML Core 3+ years hands-on experience (predominantly industry gained) with LLMs (GPT, BERT, T5, Claude) and NLP frameworks Proficiency in prompt engineering, fine-tuning, and … maintainable LLM applications Cloud & DevOps Experience with cloud computing platforms (AWS, GCP, Azure) and big data technologies Familiarity with DevOps practices and deployment of ML applications Data preprocessing and pipeline automation for structured/unstructured biological data Understanding of data security and compliance requirements for sensitive datasets Bioinformatics & domain* knowledge More ❯