76 to 100 of 494 Machine Learning Jobs in the Midlands

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

data-driven strategies. Data Management: Identify, collect, clean, and process relevant datasets, ensuring seamless handover to Data Engineers. Model Development: Create and deploy predictive and prescriptive models using Azure ML Studio and Azure DevOps. Effective Communication: Present findings clearly through visualisation and reporting, including interactive dashboards and web applications using Power BI, R Shiny, or Python Flask. MLOps Maintenance: Maintain … a candidate with a blend of essential skills and experience, including: Hands-On Experience: Proven experience in data science and machine learning model deployment, preferably with Azure ML Studio. MLOps Proficiency: Strong understanding of pipeline management and model versioning. Data Manipulation Skills: Expertise in data extraction, transformation, and reshaping using SQL, R/Tidyverse, and Python/Pandas. … BI, R Shiny, and Python Flask. Agile Methodology: Familiarity with Git and Azure DevOps for version control and agile task management. Statistical Acumen: Solid understanding of statistical methods and machine learning algorithms. Effective Communication: Ability to convey complex technical concepts to both technical and non-technical audiences. Problem-Solving Attitude: Strong proactive approach to identifying and resolving challenges. More ❯

the opportunity to electrify and decarbonize the world? We are seeking a highly skilled and results-driven Data Scientist - Validation to join our team, focusing on validating AI/ML models for grid innovation applications. This role involves rigorous testing, validation, and verification of AI/ML models with grid data to ensure they meet accuracy, performance, and operational standards … related domains such as smart infrastructure or industrial automation. They should have a strong understanding of applying data science and engineering techniques to develop, validate, and improve AI/ML models in complex, data-rich environments. Essential Responsibilities: Design and conduct experiments to test and validate AI/ML models in energy systems and grid automation. Establish validation frameworks to … reliability, and scalability. Identify discrepancies between expected and actual model behavior, providing insights for improvement. Implement automated testing strategies and pipelines to streamline validation processes. Collaborate with Data and ML Engineers to enhance data quality and model deployment. Ensure validation processes adhere to data governance policies and standards. Communicate validation results and insights clearly to stakeholders. Must-Have Requirements: Degree 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 ❯

to your personal development needs, along with two free residential management training courses at the beginning of the project. Career Progression: Deliver high-impact outcomes within a business while learning at the same time, significantly contributing to your long-term career progression. Modern Facilities on Campus: Access to state-of-the-art campus facilities, including libraries, research labs, Sports … Project Board meeting of the partners. Qualifications, Knowledge And Experience PhD in Computer Science, Data Science, Mathematics, Engineering or similar Programming proficiency in Java, (or Python) Good understanding of ML techniques and algorithms Good understanding of knowledge representation and graph models Understanding of insurance industry relevant to Risk Compliance Management. Demonstrated experience in managing projects from initiation to completion, ensuring … and quality standards are met Essential Skills, Abilities and Competencies Proactive and self-motivated, with the ability to work independently and take initiative Project management skills and business acumen. Machine Learning techniques. Proficiency in Python or Java programming. Excellent written and spoken English communication skills. Ability to communicate with a range of stakeholders with different levels of technical More ❯

from a Data Engineering or Data Scientist background. Why this role? Major voice in shaping how we build and scale our data products Involved in automation, pipeline design, and machine learning projects High-impact role in a small, agile team with real ownership You’ll need: Strong Python and SQL Solid AWS experience (Glue, Lambda, SQS, S3, etc. … and recommendations to enhance the business and how they manage their data Desirable : Degree in mathematics, statistics, or computer science Experience with DevOps tools (Docker, Kubernetes, etc.) Exposure to machine learning concepts What you'll get: Salary up to £70k Flexible hybrid model – only 1 day per quarter in the office, Lincolnshire based office Permanent opportunity We are More ❯

to learn and adapt to its ecosystem. Proficiency in Python programming focused on data manipulation and engineering. Interest in data science with a drive to expand into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimizing workflows. Excellent communication and teamwork abilities in a dynamic consultancy environment. Experience in … data ingestion, storage, and transformation, ensuring data quality and availability. Writing clean, efficient, and reusable Python code for data engineering tasks. Collaborating with data scientists and stakeholders to support machine learning and advanced data modeling initiatives. Researching and integrating the latest cloud-based technologies and frameworks to drive innovation. Opportunities to learn, develop skills in AI, and contribute … to a culture of learning and collaboration. Benefits include: Bonus schemes Life assurance Private medical cover Group income protection Great company pension Enhanced sick pay Enhanced family leave pay Volunteering leave Loyalty award scheme 24/7 access to EAP, including Wisdom AI app Access to Bright Exchange Online marketplace Remote working with an option to work from our More ❯

to learn and adapt to its ecosystem. Proficiency in Python programming focused on data manipulation and engineering. Interest in data science and a desire to expand into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimizing workflows. Excellent communication and teamwork abilities to thrive in a consultancy environment. Data … store, and transform large datasets, ensuring data quality and availability. Writing clean, efficient, and reusable Python code for data engineering tasks. Collaborating with data scientists and stakeholders to support machine learning initiatives and advanced data modeling. Driving innovation by researching and integrating the latest cloud-based technologies and frameworks. Opportunities to learn, cross-skill in AI, and contribute … to a culture of learning and excellence. Benefits Bonus schemes Life assurance Private medical cover Group income protection Generous company pension Enhanced sick pay Enhanced family leave pay Volunteering leave Loyalty award scheme 24/7 access to Employee Assistance Program, including Wisdom AI app Access to Bright Exchange online marketplace Remote working with an option to work from More ❯

adapt to its ecosystem. Proficiency in Python programming, focusing on data manipulation and engineering. A genuine interest in data science and a drive to expand skills into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills, with a passion for optimizing workflows. Excellent communication and teamwork abilities to thrive in a consultancy environment. Data … store, and transform large datasets, ensuring data quality and availability. Writing clean, efficient, and reusable Python code for data engineering tasks. Collaborating with data scientists and stakeholders to support machine learning initiatives and data modeling. Researching and integrating the latest cloud-based technologies and frameworks to drive innovation. Opportunities for learning, cross-skilling in AI, and contributing More ❯

to learn and adapt to its ecosystem. Proficiency in Python programming focused on data manipulation and engineering. Interest in data science and a drive to expand into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimizing workflows. Excellent communication and teamwork abilities in a consultancy environment. Data modeling experience … ingest, store, and transform large datasets, ensuring data quality and availability. Writing clean, efficient, and reusable Python code for data engineering tasks. Collaborating with data scientists and stakeholders on machine learning initiatives and data modeling. Researching and integrating the latest cloud-based technologies and frameworks. Opportunities to learn, cross-skill in AI, and contribute to a culture of … learning and excellence. Benefits include bonus schemes, life assurance, private medical cover, group income protection, a great pension, enhanced sick pay, family leave pay, volunteering leave, loyalty awards, 24/7 access to EAP including Wisdom AI app, access to Bright Exchange marketplace, and flexible remote working options, including from our London office. Applicants must have the right to More ❯