17 of 17 Machine Learning Jobs in Birmingham

Overview of the role: We are looking for a Principal Data Scientist to help shape the design, development and delivery of production‐grade AI, machine learning and data science solutions across Mott MacDonald. The role will focus on turning complex business, engineering and environmental needs into scalable, reliable … data products and AI services. The successful candidate will bring technical experience across generative AI, large language models, retrieval augmented generation, machine learning, computer vision, geospatial data science and MLOps. They will work with multidisciplinary teams to identify valuable use cases, shape solution architecture, develop reliable models ...

others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber Security Code … Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Proven experience of leading multi-disciplinary teams to deliver AI/ML solutions to production. Demonstrable experience of technical leadership for AI delivery including architecture, product design principles and engineering excellence. Experience with the latest AI engineering approaches ...

pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

activities. Technical Knowledge, Skills and Abilities: Educated to degree level or equivalent with a deep interest in AI innovation and automation Direct experience with machine learning, deep learning, NLP or computer vision is highly desirable Proficiency in Python, Java, and R Strong knowledge of AI frameworks such … Concepts - ideally in MS-Azure Profile Educated to degree level or equivalent with a deep interest in AI innovation and automation Direct experience with machine learning, deep learning, NLP or computer vision is highly desirable Proficiency in Python, Java, and R Strong knowledge of AI frameworks such ...

building scalable and secure data platforms. You will leverage your expertise to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. What You Will Bring Design and build high-performance data pipelines: to extract, transform, and load data into Cloud … move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using Open Source and cloud tools. Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leveraging ML to develop predictive models and drive business insights. Monitor and optimize data pipelines ...

with tools and techniques for data testing, documentation and lineage. Examples include Great Expectations or dbt. AI and MLOps Understanding of how to operationalise machine learning models in production, including model packaging, monitoring and controlled deployment. Containerisation and Kubernetes Confidence deploying applications in containerised environments, including defining services … employees are eligible to request flexible working arrangements. You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external ...

real value You’re comfortable navigating ambiguity and solving complex problems collaboratively You bring strong expertise in your craft, alongside a willingness to keep learning You communicate clearly and build trust quickly with clients and teammates You’re pragmatic, adaptable and outcome-focused You enjoy sharing knowledge and helping … from various sectors. Your responsibilities: Develop pipelines that bring data to life for decision-making, either delivering insight or for more sophisticated AI & machine learning applications Experience in being hands on with data, applying the practicalities of quality, flow, and organisation of information, and an understanding of data ...

This could include experience with technologies such as: Azure AI Foundry Azure OpenAI Microsoft Copilot Large Language Models (LLMs) AI-powered analytics Intelligent automation Machine Learning services You don't need to be an AI specialist, but you'll be able to demonstrate practical exposure to AI technologies ...

forefront of innovation by joining a leading AI research firm, building ML models that power products and drive decision-making at scale. Build, train, and deploy machine learning models using Python, TensorFlow, PyTorch Work on supervised, unsupervised, and reinforcement learning problems Clean and process large datasets … extract insights and train algorithms Perform feature engineering to improve model accuracy Design ML pipelines and automate model deployment Collaborate with software engineers to integrate models into applications Use MLOps practices for monitoring, retraining, and lifecycle management Conduct A/B tests and measure real-world model performance Stay ...

enterprise applications Ability to explain complex technical decisions to non-technical stakeholders Strong understanding of AI governance, security and best practice Desirable: Azure OpenAI Machine Learning React, React Native, Appian, Boomi or ServiceNow exposure They are looking for someone who can confidently explain not just what they ...

Experience coaching Product Managers and delivery teams. AWS, Azure or Google Cloud. Experience defining Data Product Management standards or operating models. Exposure to AI, Machine Learning or advanced analytics. Consultancy experience. What's on Offer Company pension scheme Generous healthcare package Relocation support package Various retail discounts ...

supporting Product Managers and delivery teams. Desirable Experience Experience delivering cloud-based data solutions in AWS, Azure or Google Cloud. Exposure to AI, Machine Learning or advanced analytics products. Experience working within consultancy, government or highly regulated environments. What's on Offer Company pension scheme Generous healthcare package ...

data, risk, and product to shape the future of our lending strategy. What You'll Do as Senior Decision Scientist Build and deploy ML and statistical models for credit risk, affordability, and pricing Own the full model lifecycle (data, features, modelling, validation, deployment, monitoring) Develop monitoring frameworks and performance dashboards … data sources, challenger models, and experimentation (A/B testing) Translate complex models into clear, actionable business insights Benefits Requirements: Strong experience in machine learning within lending (SME essential) Proficiency in Python & SQL Proven end-to-end model development experience Background in fintech and automated decisioning environments Solid ...

Mott MacDonald is seeking a Principal Data Scientist to shape and deliver production-grade AI, ML and data science capabilities. You will turn complex engineering and environmental needs into scalable data products and AI services, working across generative AI, LLMs, CV and geospatial data science. You will lead ...

regulator uses statistical evidence to identify emerging risks, shape policy and improve decision making at a national level.Rather than focusing on building machine learning models or data pipelines, this role is centred around designing robust statistical methodologies , helping establish best practice and developing the long-term capability ...

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 ...

What You’ll Be Doing Lead design and development of Java microservices (Spring Boot/Quarkus) on Google Cloud. Drive integration of AI/ML and generative AI capabilities into sales applications. Partner with innovation and data teams to operationalize AI into production systems. Guide architecture decisions on APIs, event … work in the US without visa sponsorship. Practical exposure to Python-based services and ability to extend/refactor them. Experience integrating AI/ML or generative AI services into production enterprise systems. Understanding of security, governance, and responsible AI considerations. Ability to influence architectural direction without direct supervisory authority. ...