1 to 25 of 71 Machine Learning Jobs in Derbyshire

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Social network you want to login/join with: AI Tech Lead – Agentic AI, LangGraph, ML, Python, CI/CD, LLM’s, Startup, UK Remote, chesterfield col-narrow-left Client: WMtech Location: chesterfield, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 16 Posted: 06.06.2025 Expiry Date: 21.07.2025 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 ❯

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 ❯

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 ❯

goals. Develop data analysis strategies using AWS tools like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data ingestion and transformation. Apply statistical and machine learning techniques for predictive and segmentation analyses. Create dashboards and KPIs with Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Collaborate on … with AWS analytics services. Proficiency in AWS tools like Redshift, Athena, EMR, and QuickSight. Understanding of data modeling, ETL, and warehousing concepts. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, visualization tools, and statistical packages. Strong analytical and problem-solving skills. Experience with social media analytics and … user behavior analysis. Knowledge of big data technologies like Hadoop, Spark, Kafka. Familiarity with AWS machine learning services like SageMaker and Comprehend. Understanding of data governance and security in AWS. Excellent communication skills and team collaboration. Attention to detail and quality delivery within deadlines. Compensation: This is an equity-only position, offering a 1% stake in the company 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 ❯

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 ❯

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 ❯