1 to 25 of 489 Machine Learning Jobs in the Midlands

and objectives. Own the creation of data best practices and standards in collaboration with technical stakeholders. Maintain a good high-level knowledge of data engineering principles, data science, and machine learning concepts. Share technical knowledge of the data platform with technical and business stakeholders. Work in collaboration with technical and business stakeholders to identify and define platform business … to ensure they conform to Next enterprise architecture principles, security standards, and non-functional requirements. About You Excellent verbal communication and customer-facing skills. Takes initiative to advance own learning and professional development. Extensive experience building/designing enterprise-scale data platforms for data ingestion, data processing, data transformation, business intelligence, AI, and advanced analytics. Proven hands-on capability More ❯

continuous years, and unspent criminal record check (known as Disclosure and Barring Service) Your role We are looking for people with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, that will allow us to design and build solutions which can be deployed … your working reality. We have built an inclusive and welcoming environment, for everyone. Your skills and experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present … organisations, through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms - demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools More ❯

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 ❯

systems and support. What we do enables our students, staff, researchers, visitors, and partners to confidently and creatively use digital services, technology, and data for the benefit of their learning, teaching, research, or work. The culture of IT Services is one of innovation, collaboration, excellence, and inclusivity, and we apply the principles of customer focus and continuous improvement to … are applied. Ability to identify issues with the potential to impact on protected groups and take appropriate action. Desirable skills Experience in higher education or research environments. Knowledge of machine learning and AI driven analytics. Certifications in cloud platforms (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate. Informal enquiries to Julian Kobylarz, email: j.kobylarz@bham.ac.uk View our More ❯

funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital. About the Team: At SecurityScorecard, the Data Science organization builds AI and ML products that empower our customers to manage cybersecurity risk. We leverage massive datasets sourced by our internal Threat Intelligence teams to create the core rating models that our customers use … for assessing third-party risk and self-assessment. We also build LLM-powered systems for automating and accelerating cybersecurity risk assessment workflows. About the Role: As an ML Engineer, you will design and optimize machine learning algorithms, build scalable data pipelines, and deploy reliable models into production environments. You'll collaborate with cross-functional teams to integrate ML … learning techniques, tools, and frameworks to enhance model accuracy and efficiency. Collaboration: Work closely with data scientists, software engineers, and product teams to understand requirements and integrate ML solutions into products. Performance Monitoring: Continuously monitor, evaluate, and fine-tune models post-deployment to maintain accuracy and robustness. Documentation: Create clear and concise documentation for models, processes, and systems 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 ❯

Experience: Educational Background: Degree in Computer Science, Statistics, or related fields preferred but not mandatory. Consideration given to candidates with significant professional experience or relevant certifications in AI/ML, cloud computing, or data engineering. Work Experience: Proven background in AI/ML, developing and deploying generative AI solutions at scale. Experience with LLMs like GPT and BERT, AI frameworks More ❯

Experience: Educational Background: Degree in Computer Science, Statistics, or related fields preferred, but relevant experience can suffice. Advanced certifications are a bonus. Work Experience: Proven expertise in AI/ML, especially with generative AI at scale, LLMs like GPT and BERT, AI frameworks (TensorFlow, PyTorch), cloud-native solutions, and tools such as Databricks and Snowflake. Experience managing stakeholders in complex … environments. Skills: Proficient in designing and optimizing generative AI models, prompt engineering, understanding ML algorithms, deploying in cloud environments, version control, Linux, Docker, data engineering tools, and strong communication skills. Business development experience is a plus. Why KPMG? Work with diverse, exciting clients across industries and globally. Engage in impactful, innovative projects that solve real problems. Collaborate with brilliant colleagues 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 ❯

to login/join with: 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. Brainpool provides companies with end … and commercial people. BSc or 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 models like GPT-4 and More ❯

to login/join with: 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. Brainpool provides companies with end … and commercial people. BSc or 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 models like GPT-4 and More ❯

to login/join with: 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. Brainpool provides companies with end … and commercial people. BSc or 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 models like GPT-4 and More ❯

to login/join with: 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. Brainpool provides companies with end … and commercial people. BSc or 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 models like GPT-4 and More ❯

to login/join with: 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. Brainpool provides companies with end … and commercial people. BSc or 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 models like GPT-4 and More ❯

and reliable applications. CF&O divisions have several web applications that generate data that are used for internal Risk & Compliance management and regulatory reporting. Data warehousing, data analytics and machine learning skills will be useful as there is a significant focus on data and reporting. HOW YOU WILL FULFILL YOUR POTENTIAL (RESPONSIBILITIES) Work in a dynamic, fast-paced … design Experience with industry standard frameworks and tools such as SpringBoot, DropWizard, Maven, Web/RESTful service development, etc. Knowledge of ORM frameworks like Hibernate, SpringJPA, etc. Experience in ML/Data Science/AWS will be relevant and useful. Experience with continuous delivery and deployment. Proficient at working with large and complex code bases. Sound in object-oriented programming 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 ❯

skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred Skills Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning Competencies Application Delivery Process, Big Data Management and Analytics, Business Intelligence, Data Analysis - Software, Data Architecture, Database Structures, Effective Communications, Problem Solving, Software Development Life Cycle Work … making a lasting difference for everyone we serve. Check out the top reasons to join PNC. Total Rewards PNC’s total rewards package includes things like time off, benefits, learning and career development, wellness programs, recognition and much more. The benefits and programs highlighted below are just a sampling of what PNC offers its employees. To learn more, visit More ❯

keep our firm’s position on the cutting edge. Or, join our core engineering teams, and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more. Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative, agile environment where your enthusiasm to More ❯

Digital department by owning and delivering the group-wide data science roadmap. This role will drive innovation and business impact by leveraging cutting-edge AI, machine learning (ML), and advanced analytics to solve complex challenges. The Technical Data Scientist will develop, deploy, and optimize scalable data science solutions, including predictive models, AI/ML-powered decision engines, and … data science roadmap, ensuring alignment with business priorities and delivering measurable commercial value to Greene King. Develop, deploy, and scale advanced data science solutions, including predictive models, AI/ML decision engines, and automation frameworks, to drive data-led operational decisions. Implement and oversee robust MLOps practices, ensuring models remain accurate, explainable, and optimized through continuous monitoring, retraining, and refinement. … Champion responsible AI and governance, ensuring ethical, fair, and transparent AI/ML practices that align with regulatory requirements and business ethics. Drive business adoption of data-driven insights by translating complex models into clear, compelling stories, enabling non-technical stakeholders to take meaningful action. Foster a data science community across Greene King by collaborating with teams including people analytics 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 ❯

annual departmental reviews. Use data science/statistical modelling tools in collaboration with the analyst team and departmental stakeholders to develop Artificial Intelligence (AI) and Machine Learning (ML) functions and analytics. Create and manage a knowledge-base, including documentation of your designs (e.g., system design, functional design, data flow design) ensuring there is version control and contingency processes 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 ❯