1 to 25 of 51 Machine Learning Jobs in Derby

deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team. Responsibilities: Lead the end-to-end … development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning and data engineers. Establish best practices for … Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD More ❯

architectures to building and maintaining robust data platforms across multiple cloud providers. Implementation of secure data processing environments for classified information, create automated deployment pipelines for data applications and ML models, and design comprehensive multi-cloud solutions with robust monitoring systems. Leading technical transformation initiatives, working closely with data engineering teams to support their infrastructure needs, implement DataOps practices, and More ❯

as you drive the project from design to implementation. These duties are initial guidelines and may evolve over time to meet changing circumstances. KEY REQUIREMENTS Cooper Parry values continuous learning, bravery, and kindness. As a candidate, you should have: Bachelor's degree in Computer Science, Mathematics, or related field, or equivalent experience. MSc or higher in Computer Science, AI … Data Science, or equivalent experience. Programming skills in Python, C++, R. Knowledge of AI, APIs, RPA, and emerging technologies. Understanding of Machine Learning principles, especially NLP and LLMs. Experience with open-source libraries like Matplotlib, Plotly, Python for data analysis. Experience handling large, complex data sets. Knowledge of project management, automation, and process optimization. Strong communication and stakeholder More ❯

Social network you want to login/join with: AI Tech Lead – Agentic AI, LangGraph, ML, Python, CI/CD, LLM’s, Startup, UK Remote, derby col-narrow-left Client: WMtech Location: derby, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 5 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: AI Tech … Lead – Agentic AI, LangGraph, ML, Python, CI/CD, LLM’s, Startup, UK Remote About the Role A mission-driven, early-stage startup is looking for an AI Tech Lead to join its growing team. This is a hands-on leadership role where you’ll help shape a cutting-edge AI platform designed to drive real-world behaviour change and … build both product and team in a fast-moving environment with purpose at its core. What You’ll Do Lead and mentor a senior engineering team working across backend, ML, and infrastructure. Play key role in design, development, and deployment AI applications using LLM's, Agentic framework, and other related technologies Own technical direction for core systems, focusing on scalability More ❯

C++, etc. Familiar with modern DevOps/CloudOps best practices - test driven development, CI/CD, etc. Desirable: prior experience with Azure and NoSQL Desirable: experience and interest in machine learning, data engineering, and data visualization Cultural Fit: Represent the firm in a professional manner and uphold its values and culture in all interactions Entrepreneurial spirit & strong work More ❯

of integration flows. As appropriate, evaluate and integrate generative AI capabilities (e.g., large language models advanced NLP toolkits) into our integration stack. You will stay current with AI/ML trends (e.g., transformer architectures, Hugging Face, Vertex AI on GCP, Azure Cognitive Services, AWS Sagemaker) and identify opportunities to incorporate new technology for improved efficiency and innovation. You will work … API Gateways (Kong, Apigee, AWS API Gateway) and ESB solutions. Familiarity with generative AI approaches like LLM-based chatbots or transformer-based AI solutions. You will have an understanding ML frameworks (TensorFlow, PyTorch) and how they can be utilised in data pipelines. Exceptional ability to communicate technical concepts to C-level executives, technical staff, and non-technical stakeholders. You will More ❯

Machine Learning Operations (ML Ops) Engineer Machine Learning Operations (ML Ops) Engineer 12 hours ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. PLEASE NOTE: We are promoting this job opportunity as provided by a third party, the employer. In case of your interest in this job … for generations to come. About The Role As a Machine Learning Operations (MLOps) Engineer, you’ll be responsible for managing, releasing and monitoring Machine Learning (ML) and Artificial Intelligence (AI) artefacts using automated frameworks. You’ll also optimise ML/AI code written by our Data Scientists into Production-ready software according to agreed performance and … cost criteria. You’ll play a key role ensuring that ML/AI projects are setup for success via the automation of residual manual steps in the development and production lifecycle. You’ll also provide essential insights into the ongoing predictive capability and cost of deployed ML/AI assets using language and visualisations appropriate for your audience. It’s More ❯

that involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product offering. Build algorithms, perform offline … and A/B test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports, and publish your work for … LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation problems Familiarity with core tools for a typical ML-focused work environment (e.g. Git, IDE, common libraries, HuggingFace). Ability to work as part of a team Be comfortable with a fast-paced, high-risk, and a high reward More ❯

and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse sources into AWS for analysis. Apply advanced statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to … such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. 4.Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming languages such as Python, R, or Scala for data analysis and modelling. 7.Experience with SQL and NoSQL databases, data visualisation tools, and statistical … thinking skills. 8.Experience with social media analytics and understanding of user behaviour. 9.Familiarity with big data technologies, such as Apache Hadoop, Apache Spark, or Apache Kafka. 10.Knowledge of AWS machine learning services, such as Amazon SageMaker and Amazon Comprehend. 11.Experience with data governance and security best practices in AWS. 12Excellent communication and collaboration skills to effectively work in More ❯

the Nottingham area , with regular in-office collaboration. The Role You'll be a key member of the engineering team, focused on building LLM-driven features, intelligent agents , and ML-powered backend systems that automate and optimise intricate workflows. It’s an ideal role for someone with strong backend/ML experience who wants to work on cutting-edge AI … D setting, collaborating closely with cross-functional teams to bring ambitious ideas to life—balancing innovation with real-world delivery. What You’ll Be Doing Design, build, and deploy ML-powered features, agents, and APIs to automate unstructured tasks Build production-level backend and microservices in Python and TypeScript Work with product and engineering teams to shape models, services, and … AI orchestration frameworks Take ownership of features end-to-end, from design to deployment and monitoring What They’re Looking For 8+ years of software engineering experience , with strong ML or backend focus Proficiency in Python and/or TypeScript , and experience with production-grade systems Familiarity with LLMs, AI agents, or orchestration frameworks (OpenAI, Anthropic, LangChain, etc.) Strong grasp More ❯

post-campaign analysis, segmentation work, and ongoing performance tracking. Build and deploy statistical models such as linear regression, clustering, forecasting, and advanced A/B tests. Work closely with ML Engineers, commercial teams, and senior stakeholders to translate insight into business action. Support marketing measurement, frequency analysis, churn reduction and commercial opportunity assessment. Collaborate cross-functionally with data engineering, product … skills with the ability to simplify complex analysis for business audiences. Degree in Mathematics, Statistics, Economics or related quantitative field. Desirable: Experience working with SageMaker or similar cloud-based ML platforms. Prior experience in subscription or membership-based consumer businesses. Exposure to marketing mix modelling or marketing analytics. Interview Process 1st Stage: Introductory screen (background, motivation & fit). 2nd Stage More ❯

in-office collaboration. Salary: £60,000 - £75,000 The Role You'll be a key member of the engineering team, focused on building LLM-driven features, intelligent agents , and ML-powered backend systems that automate and optimise intricate workflows. It’s an ideal role for someone with strong backend/ML experience who wants to work on cutting-edge AI … D setting, collaborating closely with cross-functional teams to bring ambitious ideas to life—balancing innovation with real-world delivery. What You’ll Be Doing Design, build, and deploy ML-powered features, agents, and APIs to automate unstructured tasks Build production-level backend and microservices in Python and TypeScript Work with product and engineering teams to shape models, services, and … AI orchestration frameworks Take ownership of features end-to-end, from design to deployment and monitoring What They’re Looking For 5+ years of software engineering experience , with strong ML or backend focus Proficiency in Python and/or TypeScript , and experience with production-grade systems Familiarity with LLMs, AI agents, or orchestration frameworks (OpenAI, Anthropic, LangChain, etc.) Strong grasp More ❯

in-office collaboration. Salary: £60,000 - £75,000 The Role You'll be a key member of the engineering team, focused on building LLM-driven features, intelligent agents , and ML-powered backend systems that automate and optimise intricate workflows. It’s an ideal role for someone with strong backend/ML experience who wants to work on cutting-edge AI … D setting, collaborating closely with cross-functional teams to bring ambitious ideas to life—balancing innovation with real-world delivery. What You’ll Be Doing Design, build, and deploy ML-powered features, agents, and APIs to automate unstructured tasks Build production-level backend and microservices in Python and TypeScript Work with product and engineering teams to shape models, services, and … AI orchestration frameworks Take ownership of features end-to-end, from design to deployment and monitoring What They’re Looking For 5+ years of software engineering experience , with strong ML or backend focus Proficiency in Python and/or TypeScript , and experience with production-grade systems Familiarity with LLMs, AI agents, or orchestration frameworks (OpenAI, Anthropic, LangChain, etc.) Strong grasp More ❯

biggest names in the entertainment, media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high-impact environment. The … ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI-based … neural network architectures and generative adversarial networks (GANs) for audio applications. Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI. Experience with cloud-based AI/ML infrastructure for training and deployment. Background in audio engineering, acoustics, or music technology. Why Join Us? Be part of a high-impact, high-growth team driving innovation in AI-driven More ❯

building chatbots/agents using LLM. ? Tackle complex engineering challenges: Think scalable infrastructure, observability, CI/CD pipelines, and model deployment. ? Work cross-functionally: Partner with product managers and machine learning teams to deliver practical, user-facing AI features. ? Join a company with serious momentum: This team sits within a well-established, profitable tech firm with strong ties … fintech. What You Bring: Experience in software engineering (Python, Go, Kotlin, JS, etc.) Familiarity with modern cloud infrastructure (AWS, GCP, Docker, Kubernetes) Some background or curiosity in AI/ML — personal projects or online courses count A builder’s mindset — excited to learn, prototype, and ship What’s on Offer: ️ Travel perks, sabbaticals, and plenty of paid time off ? A More ❯

stack, enabling enterprise-wide analytics, reporting, and data science initiatives. This role offers the opportunity to shape the foundation of our future "lab and factory" model of analytics and ML delivery. A day in the life of a CP Data Engineer... Design and build end-to-end data pipelines and integrations using Azure Data Factory, Azure Synapse and related tools … and optimise semantic models for Power BI and support self-service analytics across CP Support the development of a secure and scalable analytics lab environment for advanced analytics and ML experimentation Work with the team to implement data architecture principles and best practices across our platform Ensure robust CI/CD processes, monitoring, and alerting for data pipelines to ensure … cataloguing, and privacy/security in cloud data environments Understanding of business domains such as professional services or financial services Experience designing or supporting environments for advanced analytics or ML, including collaborative analytics "labs" We are looking for someone based in and around Derby or Manchester. About us... We've been dubbed 'the rebels of accountancy'. We're straight More ❯

culture Comfortable leading technical discussions and code reviews Bonus if you have: Knowledge of GDS delivery standards Exposure to embedded or real-time systems Experience with big data or machine learning backends Why this role is worth considering: You’ll shape the direction of digital systems that support national infrastructure You’ll be joining a company investing heavily More ❯

their exciting journey! Our client equips traders with tools that are faster, smarter, and easier to use. This is a fantastic opportunity to join a leading AI company whose Machine Learning product suite creates new trading opportunities through real-time analytics, supported by a world-class, scalable, ultra-low latency architecture. The Data Platform is crucial to all More ❯

are seeking a skilled and versatile Full Stack Developer with deep experience in .NET (C#) and Angular , coupled with hands-on knowledge in Microservices architecture , Python , and AI/ML integration . The ideal candidate will be a self-starter who thrives in dynamic environments and enjoys building scalable, performant, and intelligent web applications from front to back. Key Responsibilities … high-quality web applications using .NET Core , C# , and Angular . Build and maintain scalable microservices using RESTful APIs and containerized services (Docker/Kubernetes). Integrate AI/ML models into applications using Python , leveraging frameworks such as TensorFlow , scikit-learn , or PyTorch . Collaborate with cross-functional teams including DevOps, Data Science, and UI/UX to implement … Core , C# , and modern Angular (v10+). Solid understanding of Microservices architecture , RESTful API design, and inter-service communication. Experience with Python for backend tasks, scripting, or AI/ML integration. Familiarity with AI/ML workflows, model deployment, and basic data science principles. Knowledge of SQL and NoSQL databases (e.g., SQL Server, MongoDB, PostgreSQL). Experience with containerization tools More ❯

are seeking a skilled and versatile Full Stack Developer with deep experience in .NET (C#) and Angular, coupled with hands-on knowledge in Microservices architecture, Python, and AI/ML integration. The ideal candidate will be a self-starter who thrives in dynamic environments and enjoys building scalable, performant, and intelligent web applications from front to back. Full Stack Developer … are seeking a skilled and versatile Full Stack Developer with deep experience in .NET (C#) and Angular, coupled with hands-on knowledge in Microservices architecture, Python, and AI/ML integration. The ideal candidate will be a self-starter who thrives in dynamic environments and enjoys building scalable, performant, and intelligent web applications from front to back. Key Responsibilities Design … deploy high-quality web applications using .NET Core, C#, and Angular. Build and maintain scalable microservices using RESTful APIs and containerized services (Docker/Kubernetes). Integrate AI/ML models into applications using Python, leveraging frameworks such as TensorFlow, scikit-learn, or PyTorch. Collaborate with cross-functional teams including DevOps, Data Science, and UI/UX to implement features More ❯

of investment. We are looking for a hands-on individual who is a natural problem solver with advanced analytical skills, experience of A/B testing & creating/maintaining ML Models and delivering technical problems to non-technical audiences. Reporting to the Head of Data & Analytics the desired candidate will be keen to join a fast-paced and friendly team … Champion Data accuracy and Quality, utilising external 3rd party relationships to enhance our portfolios Provide insight on client portfolios and identify trends across the business Create and maintain bespoke ML models for a variety of business and client needs Lead and manage Champion/Challenger strategies, to elevate performance on existing contact strategies Liaise with operational leaders, to help maximise … and mentor junior team members within D&A Skills, Knowledge And Expertise You will: 5+ Years' experience in a previous analytical role Experience in identifying performance trends and creating ML models to support operational contact strategies Be proficient in Python, SQL and Microsoft Excel Have great interpersonal skills and be able to communicate your ideas to a wider audience Be More ❯

a sole UK national – SC clearance required Desirable extras: Experience with high-assurance or safety-critical software Exposure to GDS digital service standards Familiarity with big data, ETL, or ML/AI pipelines Background in energy, defence, embedded or industrial software a bonus Why this role? You’ll have real influence on how key infrastructure software is built and delivered More ❯

Senior C# Developer, Senior .Net Core Analyst Programmer , Physics, Engineering, AWS, Cloud, Azure, C#/.Net, Microsoft Stack, SQL, FFT, Machine Learning, Sustainability - Nottingham 75K UK-based, award-winning technology company specializing in Data Driven Technology - East Midlands - Salary up to 75K + pension, bonus, flex around start/finish times. - 3 days in office Do you have … Derby, and Leicester. Salary/Package – up to 75K and generous package including annual review, company performance-related bonus scheme, and enhanced pension and savings contributions. Flexible working, personal learning and development, and more. You must have full rights to work in the UK, no sponsorship on offer with this role. If you would like to be considered for More ❯

Forward Deployed Product Engineer (Python) Fully Remote within the UK Up to £160k + Stock + Benefits Series C, Developer Tooling/ML Deployments Join a US scale-up on a mission to empower Engineering teams to deliver their best work, through simplifying the deployment of Machine Learning models As they expand their global footprint, raised Series C … seeking a talented Forward Deployed Engineer to join the UK team! About the Role As a Forward Deployed Engineer you'll collaborate directly with customers to understand challenges, engineering ML-based deployment solutions. You'll be instrumental in ensuring clients achieve optimal outcomes with their models, focusing on aspects like optimisation, scalability & efficiency You’ll work alongside teams that have … joined from world-class tech businesses like NVIDIA, Amazon, Datadog, Vercel, Meta, GitHub and Uber Key Responsibilities Partner with customers to identify and address their ML deployment needs Implement and optimise ML solutions using Python, open-source tools & infrastructure Collaborate with cross-functional teams to enhance product features, based on client feedback Work with Python, PyTorch, Tensorflow, Kubernetes, Docker & cloud More ❯

and lead a team across 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 & Skills: 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 valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector … orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI/ML model deployment, monitoring, and scaling strategies Experience with both cloud-managed AI services and on-premise model hosting Leadership Skills: Track record of building and scaling engineering teams Strong communication More ❯