17 of 17 Permanent Machine Learning Jobs in Edinburgh

MACHINE LEARNING ENGINEER (MLOPS) HYBRID/EDINBURGH OR UK REMOTE £55-60,000 PLUS BENEFITS Based in Edinburgh, GRW Talent’s client is considered to be the leading audio-driven facial animation provider in the video-game industry. They employ detailed muscle maps for extremely accurate real-time … meaningful interactions in any language. This platform is being used to bring best-in-class digital experiences to multiple sectors, including corporate training, immersive learning, and virtual influencers. With a culture that thrives on collaboration, creativity and pushing technological boundaries, they are committed to providing a workplace where people … degree calibre in Computer Science, Software Engineering or Data Science. You are a proven Machine Learning Engineer/MLOPS, with expertise in ML platform development and model deployment, experience in establishing and improving MLOps processes, strong Python development skills and experience with a machine learning toolkit More ❯

partners to develop your career and the solutions we deliver for our clients. In this role you will: Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics. Understand business requirements and support the development of business cases. Run discovery analytics … to identify new and innovative opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future business problems. Consult on complex … analyses and advanced machine learning methods. Communicate and provide guidance to senior client leadership and teams. Contribute data science expertise to new sales activities. Shape DS Strategy and the delivery of DS solutions. Operate across multiple industries and functions. Develop others by bringing your unique knowledge and skillsets More ❯

Role: Machine Learning Engineer Location: Edinburgh, Hybrid (60% of time in office) Salary: £40,000 to £45,000 per annum (or pro-rata) + pension scheme and bonus Job Type: Permanent, Full-time or Part-time SeeByte , the global market leader in the development of smart software for … the development and tuning of models for object detection and classification using state of the art Deep Neural Networks. You will work with the ML team to develop Generative Adversarial Network systems to create realistic environmental simulations You will be involved in defining and implementing new areas of technology and … experience of using C++ and/or Python. You will have strong numeracy and critical thinking skills. Hands-on commercial or academic experience in ML with demonstrated technical skills in one or more of the following areas: deep neural networks, pattern recognition or computer vision. Knowledge and experience of data More ❯

Machine Learning Engineer Remote with Travel Are you an experienced Machine Learning Engineer looking to work on cutting edge cloud projects for prestigious clients? This organisation has experienced continually strong growth since founding, and this exciting role would see the successful candidate design, build and deliver … support for this Bonus About the role As a mid-to-senior level Machine Learning Engineer, you will be involved in creating ML models to be deployed in the cloud and supporting the Data Engineering, DataOps and Devops. You will be working with the latest technology on highly … visible and large-scale projects. What youll bring to the role Strong grounding in ML approaches, techniques and frameworks Python, Pandas, Tensor Flow, Scikit-learn, Numpy, SciPy Experience deploying to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF etc.) Able to work with databases like More ❯

skills with the ability to explain technical concepts to both technical and non-technical stakeholders. Preferred Qualifications: Experience designing data platforms that support analytics , machine learning , and real-time operational workloads . Familiarity with data governance , privacy , and compliance frameworks (e.g., GDPR, HIPAA). Background in customer-centric More ❯

APIs You have experience of working on SaaS products with Amazon Web Services (AWS), CloudFormation, Terraform You are familiar with big data and analytics, machine learning, computer vision and AI algorithms You're a collaborative problem solver You are degree educated in Computer Science or similar technical discipline More ❯

analysis from our Data Warehouse and Data Lake, playing a key role in providing support to the business in their Data Science, AI, and ML initiatives. Our Data & Analytics technology stack consists primarily of: Oracle tools, Snowflake, Postgres, various AWS Services (SageMaker, Lambda, Step Functions, DMS, S3 etc.) in the More ❯

experience with LLMs (e.g., ChatGPT, Claude), prompt engineering, and generative content platforms. Data Orientation Comfort with SQL, Python or low-code/no-code ML for building and evaluating predictive models. Demand Generation DNA Proven track record driving pipeline in global B2B environments, with lean, AI-powered teams. Collaborative Leader More ❯

environments. Languages: English : Fluent (required) Mandarin Chinese : Fluent or professional proficiency (preferred, but not mandatory) Other Skills: Experience in privacy, cybersecurity, or AI/machine learning technologies is a plus. More ❯

single-nuclei transcriptomics data. Experience with 10x Genomics Xenium or VisiumHD spatial transcriptomics data. Experience in pipeline construction and implementation with Nextflow. Interest in machine learning applications in bioinformatics. In Technology Group Ltd is acting as an Employment Agency in relation to this vacancy. More ❯

single-nuclei transcriptomics data. Experience with 10x Genomics Xenium or VisiumHD spatial transcriptomics data. Experience in pipeline construction and implementation with Nextflow. Interest in machine learning applications in bioinformatics. In Technology Group Ltd is acting as an Employment Agency in relation to this vacancy. More ❯

distributions Weighting sample-based data Statistical tests proper usage Real-world applications. Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries Working knowledge of SQL, data structures and databases (Snowflake - desirable) This is a pragmatic and humble organisation who are looking More ❯

distributions Weighting sample-based data Statistical tests proper usage Real-world applications. Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries Working knowledge of SQL, data structures and databases (Snowflake - desirable) This is a pragmatic and humble organisation who are looking More ❯

week in office) Rethinking Your Next Move in Engineering or AI? What if you could take your deep knowledge of cloud platforms, AI/ML systems or DevOps—and use it to guide one of the UK’s largest banks through safer, smarter digital transformation? This is a high-impact … About the Opportunity: As Portfolio Lead – Platforms & Engineering , you’ll oversee a significant slice of the technology audit plan. Think: cloud migrations, AI/ML deployments, DevSecOps pipelines and modern software engineering practices But this isn’t about ticking audit boxes—it’s about ensuring robust, forward-looking controls are … emerging tech or AI governance is in scope Champion automation, data-driven testing and innovative assurance practices across your team Use your AI/ML or cloud expertise to offer credible challenge, surface blind spots, and shape how risk is managed during transformation Coach and grow talent—sharing technical insight More ❯

week in office) Rethinking Your Next Move in Engineering or AI? What if you could take your deep knowledge of cloud platforms, AI/ML systems or DevOps—and use it to guide one of the UK’s largest banks through safer, smarter digital transformation? This is a high-impact … About the Opportunity: As Portfolio Lead – Platforms & Engineering , you’ll oversee a significant slice of the technology audit plan. Think: cloud migrations, AI/ML deployments, DevSecOps pipelines and modern software engineering practices But this isn’t about ticking audit boxes—it’s about ensuring robust, forward-looking controls are … emerging tech or AI governance is in scope Champion automation, data-driven testing and innovative assurance practices across your team Use your AI/ML or cloud expertise to offer credible challenge, surface blind spots, and shape how risk is managed during transformation Coach and grow talent—sharing technical insight More ❯

things could break, and how to design better guardrails. This is a role that values practical experience in DevOps, cloud-native infrastructure, AI/ML applications or large-scale system delivery—and retools that into a new kind of strategic, business-critical impact You'll lead or co-lead audits … You’ll Be Doing Shape and lead targeted technology audits, focused on cloud controls, modern software engineering, DevSecOps and the use of AI/ML in production. Translate your real-world experience into smart, risk-aware insights during audits—bringing a healthy dose of pragmatism to theoretical risk discussions. Work … experience delivering or governing modern tech platforms—whether as an engineer, architect, SRE, platform lead, or transformation consultant. Familiarity with generative AI or applied ML systems in production settings—especially the associated risks (data drift, explainability, etc.). Exposure to cloud platforms (GCP, Azure, AWS) and related security or operational More ❯

both public and private sectors. Our commitment to designing impactful careers and coaching future leaders is evident in our over 10 prestigious awards in Learning & Development and Equality, Diversity & Inclusion. As a Top 20 Employer for Social Mobility and a proud B-Corp certified organisation, we're not just … role You'll become versatile in a wide array of tools across topics covering data focused coding, data visualisation, Cloud Services, Big Data and Machine learning. You will be equipped to work within a variety of roles including but not limited to; Data Engineer, Data Analyst, Data Scientist, Information More ❯