76 to 100 of 137 Machine Learning Jobs in Milton Keynes

and bring in more sources of data. Oversee analytics and BI delivery across Power BI, stakeholder engagement, and actionable reporting frameworks. Support AI and ML initiatives, offering guidance on the adoption of advanced analytics where appropriate. Requirements: Strong experience in a lead or head of data position, developing and presenting … mindset with the ability to be hands-on when needed. Knowledge of data governance frameworks, ownership models, and policy implementation. Interest in AI and machine learning trends, with the ability to support exploratory or early-stage adoption. More ❯

and bring in more sources of data. Oversee analytics and BI delivery across Power BI, stakeholder engagement, and actionable reporting frameworks. Support AI and ML initiatives, offering guidance on the adoption of advanced analytics where appropriate. Requirements: Strong experience in a lead or head of data position, developing and presenting … mindset with the ability to be hands-on when needed. Knowledge of data governance frameworks, ownership models, and policy implementation. Interest in AI and machine learning trends, with the ability to support exploratory or early-stage adoption. More ❯

years of experience in forecasting or data analytics Proven experience with statistical software, ideally in Python or R Experience with advanced analytical techniques, including machine learning and predictive modelling Industry knowledge of forecasting in Automotive/Finance/Manufacturing is high desired What's in it for you More ❯

years of experience in forecasting or data analytics Proven experience with statistical software, ideally in Python or R Experience with advanced analytical techniques, including machine learning and predictive modelling Industry knowledge of forecasting in Automotive/Finance/Manufacturing is high desired What's in it for you More ❯

or a related field, or a Master’s degree. Strong Python programming (essential), SQL, and linear regression/statistical modelling. Experience with web scraping, machine learning, or dashboarding is a plus. A background in finance or exposure to financial data is advantageous but not required. How to Apply More ❯

focused projects within our services team. The TPM will drive end-to-end delivery of initiatives centered around Microsoft Purview, Data Loss Prevention (DLP), Machine Learning Platform (MPIP), Microsoft Copilot, and Records Management . This role is a critical contributor to delivering secure, automated, and compliant digital environments More ❯

Azure Marketplace SaaS Microsoft certifications (e.g., Azure Solutions Architect, Azure Developer). Familiarity with CI/CD and DevOps practices. Exposure to AI/ML in SaaS environments. As a professional company we gladly welcome applications from persons of any age and background and do not intend to discriminate with More ❯

central data warehouse. Working with a fully cloud-based Azure ecosystem (including Azure Data Factory and Databricks). Exploring opportunities to integrate AI/ML tools to drive innovation and business growth. What’s in It for You: Salary up to £60,000 + discretionary bonus Flexible holiday (buy/ More ❯

SIP trace analysis, RTP streams , and protocol troubleshooting. Experience integrating with or supporting call routing , rating, and billing systems. Desirable: Experience with AI/ML or open-source tools applied to VoIP or network analytics. Exposure to containerisation technologies (e.g., Docker) and microservice deployments. Soft Skills: Strong analytical and troubleshooting More ❯

clear scientific thinking and practical problem-solving. Key Responsibilities Analyse proteomics datasets using an internal suite of computational tools Develop and maintain statistical and machine learning methods to support biomarker discovery and validation Collaborate with wet-lab and clinical teams to guide experimental design and interpret results Build … aimed at deploying predictive signatures in clinical settings Ideal Candidate PhD (or equivalent experience) in a STEM discipline 3 years experience with statistical or ML methods applied to high-dimensional biological data 2 years experience in proteomic bioinformatics Strong programming skills in R (Python/C++ a bonus) Familiarity with More ❯

clear scientific thinking and practical problem-solving. Key Responsibilities Analyse proteomics datasets using an internal suite of computational tools Develop and maintain statistical and machine learning methods to support biomarker discovery and validation Collaborate with wet-lab and clinical teams to guide experimental design and interpret results Build … aimed at deploying predictive signatures in clinical settings Ideal Candidate PhD (or equivalent experience) in a STEM discipline 3 years experience with statistical or ML methods applied to high-dimensional biological data 2 years experience in proteomic bioinformatics Strong programming skills in R (Python/C++ a bonus) Familiarity with More ❯

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 ❯

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 ❯

the architecture community Providing mentorship, coaching, and training to less experienced architects to enhance technical skills, foster professional growth and promote a culture of learning and continuous improvement What you'll bring: These are the essential requirements you need to be successful in this role: Experience of leading solution … architecture and design within the Treasury Risk domain, with a background in Risk Models and Machine Learning models on big data platforms, for large transformation programmes within complex organisations Excellent stakeholder management and communication skills Demonstrable experience of architecture across a range of domains, technologies or industries The 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 ❯