1 to 25 of 157 Remote Machine Learning Jobs in the Midlands

and iterative refinement Collaborate with cross-functional teams including researchers, engineers, and external partners to develop, test, and scale innovative digital twin solutions Guide the development and deployment of machine learning models that power real-time, multimodal construction insights Ensure high-quality, maintainable code through robust documentation, testing, and software development best practices Communicate key findings and recommendations … related field 10+ years of experience in Digital construction including 5+ of experience in the specificity of Construction Site Digital Twin or similar research Deep understanding of AI/ML concepts applied to Digital Twin, with extensive hands-on experience in training and fine-tuning models using frameworks such as PyTorch or TensorFlow Proficiency with Generative AI tools such as … GPT, DALL-E, Gemini, and a solid understanding of underlying Machine Learning pipelines Exceptional analytical and problem-solving skills Creative, flexible, and adept at working with new technology Extensive experience in coding (C++, Python) Strong experience with cloud services & architectures (AWS, Azure, etc.) Excellent written communication skills to document code, architectures, and experiments Preferred Qualifications Knowledge of the More ❯

opportunity to help provide crucial information and insight to support the management of high-profile health incidents alongside ongoing surveillance activities. UKHSA has a strong data science community with learning opportunities, community groups and hackathon events. We predominantly code in Python and R and utilise AWS and Azure based cloud environments. The teams use Agile ways of working including … strategic and operational decision making use data ethically and appropriately be innovative and adaptable explore existing and new data using a range of statistical tools and techniques, such as machine learning and predictive analytics find patterns in data and transform them into organisational insight A first or second-class honours degree in a numerate discipline, computer science or … supporting development of coding capability across the team. Expertise in wrangling, cleaning and preprocessing data for readiness for analysis and guiding best practice across the team. Ability to apply machine learning techniques, critically assessing model performance, limitations and ethical considerations whilst supporting the development of best practice across the team. Previous experience of leading a team of data More ❯

opportunity to help provide crucial information and insight to support the management of high-profile health incidents alongside ongoing surveillance activities. UKHSA has a strong data science community with learning opportunities, community groups and hackathon events. We predominantly code in Python and R and utilise AWS and Azure based cloud environments. The teams use Agile ways of working including … strategic and operational decision making use data ethically and appropriately be innovative and adaptable explore existing and new data using a range of statistical tools and techniques, such as machine learning and predictive analytics find patterns in data and transform them into organisational insight Essential Criteria A first or second-class honours degree in a numerate discipline, computer … supporting development of coding capability across the team. Expertise in wrangling, cleaning and preprocessing data for readiness for analysis and guiding best practice across the team. Ability to apply machine learning techniques, critically assessing model performance, limitations and ethical considerations whilst supporting the development of best practice across the team. Previous experience of leading a team of data More ❯

opportunity to help provide crucial information and insight to support the management of high-profile health incidents alongside ongoing surveillance activities. UKHSA has a strong data science community with learning opportunities, community groups and hackathon events. We predominantly code in Python and R and utilise AWS and Azure based cloud environments. The teams use Agile ways of working including … strategic and operational decision making use data ethically and appropriately be innovative and adaptable explore existing and new data using a range of statistical tools and techniques, such as machine learning and predictive analytics find patterns in data and transform them into organisational insight A first or second-class honours degree in a numerate discipline, computer science or … supporting development of coding capability across the team. Expertise in wrangling, cleaning and preprocessing data for readiness for analysis and guiding best practice across the team. Ability to apply machine learning techniques, critically assessing model performance, limitations and ethical considerations whilst supporting the development of best practice across the team. Previous experience of leading a team of data More ❯

works across a diverse array of sectors including Defence, Telecommunications, Energy and Finance to help secure national infrastructure in the UK and beyond What you will do as a Machine Learning Engineer: This is a highly rewarding and hands on role with exposure across both traditional and cutting edge enterprise IT as well as bespoke Operational Technology systems. … and personable people to help grow our practice and solve some of the most challenging, exciting and critical challenges to the UK’s digital landscape. Skills in Python and machine learning are critical to this role as well as exposure to the data lifecycle. The role will include: Building, integrating, testing and scaling models including NLP and Computer … Vision Take ownership of developing, training and productionising machine learning lifecycles, adhering to best practices, security needs and quality assurance Development of neural networks Implementing and maintaining MLops workflows Work alongside Data Engineers and DevOps Engineers to ensure continuous integration and deployment of machine learning models in production. Proactive learning and researching new technologies and More ❯

near real-time data processing. Knowledge of data governance, compliance, and security best practices . Prior experience with cloud-based lakehouse implementation . Experience with machine learning (ML) and AI frameworks, particularly within Databricks (e.g., MLflow, AutoML, or PyTorch/TensorFlow). Understanding of AI-driven analytics and predictive modeling to enhance BI solutions. Think you can make More ❯

2. Design and Propose AI Architectures Translate client requirements into scalable, cloud-based AI architectures that address both technical feasibility and business impact. Propose end-to-end AI/ML solutions-including model design, data pipelines, MLOps, and platform integration-tailored to each opportunity. 3. Support Sales and Bid Activity Lead the technical response for AI-related RFPs, RFIs, and … Prototype and Demonstrate Build proof-of-concepts (PoCs) or demos to validate solution approaches and inspire client confidence. Showcase AI capabilities using relevant tools (e.g. Power BI + Azure ML, Hugging Face, LangChain, GPT APIs). 5. Track Industry Trends and Use Cases Stay ahead of market trends in Generative AI, Responsible AI, and emerging AI use cases across sectors. … Skills Proven experience in pre-sales or client-facing architecture roles involving AI, data science, or analytics. Strong ability to elicit business needs and align them with AI/ML solutions in cloud environments (Azure, AWS, or GCP). Deep technical understanding of AI/ML concepts: supervised and unsupervised learning, GenAI, LLMs, embeddings, MLOps, vector search. Experience designing More ❯

We’re working with a biotech start-up that’s tackling one of modern medicine’s biggest challenges. They’ve built a next-generation diagnostic device and with AI, machine learning, and their own DNA sequencing tech in play, they’re solving incredibly complex problems at the intersection of science and software. What you’ll be doing: Following … a life-saving platform. You’ll be leading on the design and implementation of scalable, secure data pipelines - getting experimental and genomic data into formats that data scientists and machine learning engineers can easily … work with. This role combines classic data engineering work with data management strategy, data lineage tracking, and storage infrastructure design; from cold archiving through to high-speed access for ML models, you’ll be the go-to person. You'll be collaborating closely with engineers and scientists, helping to bridge the gap between their experiments and actionable data. That might More ❯

near real-time data processing. Knowledge of data governance, compliance, and security best practices . Prior experience with cloud-based lakehouse implementation . Experience with machine learning (ML) and AI frameworks, particularly within Databricks (e.g., MLflow, AutoML, or PyTorch/TensorFlow). Understanding of AI-driven analytics and predictive modeling to enhance BI solutions. Think you can make More ❯

United Kingdom, Australia, Japan, India, and the Philippines. Job Description Our Insights platform empowers educational institutions to analyze vast amounts of exam data, providing critical analytics that drive better learning outcomes. We are seeking a Senior Backend Engineer to develop and maintain the core data processing and reporting systems that power this platform. As a core contributor to our … way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes. Our Values underpin everything we do. Customer Centric - We realize our mission to ensure integrity and improve learning outcomes by putting educators and learners at the center … of everything we do. Passion for Learning - We seek out teammates that are constantly learning and growing and build a workplace which enables them to do so. Integrity - We believe integrity is the heartbeat of Turnitin. It shapes our products, the way we treat each other, and how we work with our customers and vendors. Action & Ownership - We More ❯

Job Requisition ID # 25WD89838 Position Overview As a Principal Software Engineer at Autodesk Research, you will work on new ML-powered product features that help our customers imagine, design, and make a better world. You are a software engineer who is passionate about solving problems and building things. You will collaborate with a talented team of scientists, research engineers … and process data for use with machine learning. Your skills span across data processing and distributed systems with a software engineering base. You are excited to collaborate with ML engineers to build generative AI features in Autodesk products, and comfortable working at the intersection of research and product. You will report to: Manager, Autodesk Research, Generative AI. Location: London … Responsibilities · Collaborate on engineering projects for product with a diverse, global team of researchers and engineers · Develop scalable distributed systems to process, filter, and deploy datasets for use with machine learning · Process large, unstructured, multi-modal (text, images, 3D models, code snippets, metadata) data sources into formats suitable for machine learning · Conduct and analyse experiments on More ❯

to data delivery within Azure DevOps. Desirable An understanding of the lifecycle of machine learning models. Experience with Azure Machine Learning or other cloud-based ML platforms for deploying and managing models. Working arrangements We embrace smarter working practices which offer our employees the opportunity to work their hours flexibly and remotely where their roles and … welcome, included, and supported to be themselves and achieve more. So, if you join us, you’ll find an inclusive workplace that recognises your hard work, offers lots of learning and development, flexible and hybrid working, and support for your wellbeing. As well as benefits that can make a difference to your life. Ready to start shining? Our people More ❯

insurance with world-class data analytics and risk assessment solutions. As a global tech leader, we empower insurers to make faster, smarter decisions through the power of advanced AI, machine learning, and cutting-edge cloud technologies. Our platforms support everything from catastrophe modeling and underwriting to fraud detection and claims optimization—helping insurers manage complexity, reduce risk, and … insurance with world-class data analytics and risk assessment solutions. As a global tech leader, we empower insurers to make faster, smarter decisions through the power of advanced AI, machine learning, and cutting-edge cloud technologies. Our platforms support everything from catastrophe modeling and underwriting to fraud detection and claims optimization—helping insurers manage complexity, reduce risk, and … a Great Place to Work for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work Certification, we’ve been recognized by The Wall Street Journal More ❯

Hadoop. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Experience with monitoring and alerting tools such as Prometheus, Grafana, or ELK for data infrastructure. Understanding of ML algorithms, their development and implementation Confidence developing end-to-end solutions Experience with infrastructure as code e.g. Terraform, Ansible This is not an exhaustive list, and we are keen to … please visit : https://www.gov.uk/government/publications/united-kingdom-security-vetting-clearance-levels Life at Leonardo With a company funded benefits package, a commitment to learning and development, and a flexible approach to working hours focused on the needs of both our employees and customers, a career with Leonardo has never offered as many opportunities More ❯

work directly with clients to 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 up the ranks of the … models into client environments and 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) Experience with Gen AI would More ❯

work directly with clients to 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 up the ranks of the … models into client environments and 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) Experience with Gen AI would More ❯

the existing infrastructure. Identify and address potential gaps or risks in the tech stack related to agentic adoption. Technology Strategy: Advise on selection of technologies, programming languages, AI/ML models, orchestration engines, and deployment platforms. Influence the long-term direction of RDS’s technical architecture in light of agentic advancements and market trends. Talent and Team Enablement: Mentor and … enterprise architecture roles. Demonstrated experience in designing and implementing complex distributed systems, ideally with exposure to agent-based architectures or autonomous systems. Proven track record working with AI/ML pipelines, microservices, and cloud-native platforms. Experience collaborating with cross-functional teams across product, engineering, and enterprise architecture. Technical Skills: Deep understanding of enterprise architecture frameworks (e.g., TOGAF, Zachman). More ❯

the existing infrastructure. Identify and address potential gaps or risks in the tech stack related to agentic adoption. Technology Strategy Advise on selection of technologies, programming languages, AI/ML models, orchestration engines, and deployment platforms. Influence the long-term direction of RDSs technical architecture in light of agentic advancements and market trends. Talent And Team Enablement Mentor and upskill … enterprise architecture roles. Demonstrated experience in designing and implementing complex distributed systems, ideally with exposure to agent-based architectures or autonomous systems. Proven track record working with AI/ML pipelines, microservices, and cloud-native platforms. Experience collaborating with cross-functional teams across product, engineering, and enterprise architecture. Technical Skills Deep understanding of enterprise architecture frameworks (e.g., TOGAF, Zachman). More ❯

relating to data delivery within Azure DevOps. An understanding of the lifecycle of machine learning models. Experience with Azure Machine Learning or other cloud-based ML platforms for deploying and managing models. Working arrangements We embrace smarter working practices which offer our employees the opportunity to work their hours flexibly and remotely where their roles and … welcome, included, and supported to be themselves and achieve more. So, if you join us, you’ll find an inclusive workplace that recognises your hard work, offers lots of learning and development, flexible and hybrid working, and support for your wellbeing. As well as benefits that can make a difference to your life. Ready to start shining? Our people More ❯

our „AI Services Team“ now! Location: Langenfeld What you can expect from us: Design and implement software solutions in Python and C# in the field of artificial intelligence and machine learning Conceptualize and test scalable applications and services that meet the requirements of our customers Work closely with Data Scientists and other Developers to seamlessly integrate AI models … as well as serveral years of experience in development with C# and Python Experience & Know-how: Extensive experience in hosting AI models, as well as a basic understanding of machine learning and SQL Personality & Working method: Excellent analytical abilities and problem solving skills Technical skills: Experience in development with Python (Numpy, OpenCV, FastAPI) and C# (Entity Framework Core … Core) as well as DevOps knowledge with GitLab CI/CD, Grafana, Prometheus, Tracing, Docker/Linux Language: Fluent in written and spoken English Nice-to-have: Experience with machine learning frameworks such as Nividia Trition, PyTorch as well as good in written and spoken German What you can look forward to: Would you like to see our More ❯

fast-growing financial services organisation. This is an opportunity to join a forward-thinking team focused on driving innovation across the full customer lifecycle using advanced data science and machine learning techniques. About the Role: As a Lead Data Scientist, you will play a pivotal role in developing and enhancing data-driven solutions across fraud prevention, marketing strategy … identify opportunities for process improvement through data. Key Skills & Experience: Proven experience delivering end-to-end data science solutions in a commercial environment. Strong technical expertise in predictive modelling, machine learning, and AI. Proficient in R, Python, SQL, and familiar with visualisation tools like Power BI. Excellent problem-solving, communication, and stakeholder management skills. Experience in applying Gen … ability to work both independently and collaboratively within a team of ~5. A high level of discretion and professionalism when handling sensitive data. A mindset focused on innovation, continuous learning, and delivering outcomes. Please be aware this advert will remain open until the vacancy has been filled. Interviews will take place throughout this period, therefore we encourage you to More ❯

performance tuning and monitoring. Monitor and maintain data infrastructure, resolving issues proactively. Document technical designs and share knowledge through training and code reviews. Contribute to big data analytics and machine learning initiatives. Continuously improve platform performance and adopt new Azure capabilities. Requirements Strong experience with Azure Databricks. Proficient with Azure Data Factory, Synapse Analytics, Data Lake Storage, Stream … Strong communication and stakeholder engagement skills. Self-starter with a proactive mindset and ability to overcome challenges. Empathetic and collaborative team player open to new ideas and technologies. Desirable: Machine learning engineering knowledge. Midlands based opportunity Hybrid working – 1 day on-site per week Salary package - £60,000-£65,000 Great benefits package on offer If you’re More ❯

performance tuning and monitoring. Monitor and maintain data infrastructure, resolving issues proactively. Document technical designs and share knowledge through training and code reviews. Contribute to big data analytics and machine learning initiatives. Continuously improve platform performance and adopt new Azure capabilities. Requirements Strong experience with Azure Databricks. Proficient with Azure Data Factory, Synapse Analytics, Data Lake Storage, Stream … Strong communication and stakeholder engagement skills. Self-starter with a proactive mindset and ability to overcome challenges. Empathetic and collaborative team player open to new ideas and technologies. Desirable: Machine learning engineering knowledge. Midlands based opportunity Hybrid working – 1 day on-site per week Salary package - £60,000-£65,000 Great benefits package on offer If you’re More ❯

learn and adapt to its ecosystem. Proficiency in Python programming focused on data manipulation and engineering. Interest in data science and a desire to expand skills into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills, with a passion for optimizing workflows. Excellent communication and teamwork skills for a dynamic consultancy environment. Experience in … store, and transform large datasets, ensuring data quality and availability. Writing clean, efficient, and reusable Python code for data engineering tasks. Collaborating with data scientists and stakeholders to support machine learning initiatives and data modeling. Researching and integrating the latest cloud technologies and frameworks to drive innovation. Opportunities for learning, cross-skilling in AI, and contributing to More ❯

Location: birmingham, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 26.06.2025 Expiry Date: 10.08.2025 col-wide Job Description: Job Title: ML Engineering Trainer Location: Fully Remote Job Type: Permanent Role Overview: FIND are working with a Global Data & AI Training/Education specialist who are looking to expand their Data Science … Training team. They’re looking for AI & ML Engineering specialists interested in becoming Trainers/Educators to junior/apprentice ML Engineers This role is ideal for someone who enjoys teaching, mentoring & developing the next generation of ML professionals, while staying engaged with all the current & latest AI technologies and best practices. Key Responsibilities: Deliver high-quality, practical training sessions … in Machine Learning and Artificial Intelligence Engineering. Facilitate both beginner and advanced-level content to AI/ML Engineers and Data Scientist 's working across a variety of companies & industries Provide hands-on coding sessions and real-world project mentorship using Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch etc) Incorporate cloud-based tools and services More ❯