1 to 25 of 74 Machine Learning Jobs in Edinburgh

organization. We partner with teams across the firm to solve some of the most complex and consequential challenges in financial services, applying generative AI, machine learning, optimization, and statistics to deliver measurable business impact. Our mission is simple but ambitious: combine human and machine intelligence to revolutionize … including supporting their career growth and development. Strong familiarity with Python programming, and hands-on experience guiding solutions architecture for production-grade AI/ML systems. Strong theoretical background in and practical experience using AI, machine learning, optimization, or statistical techniques. Experience assessing performance of machine learning ...

fair and explainable systems which automate recruitment processes across Amazon? Come and be part of a team that develops new machine learning (ML) technologies, which help Amazon scale for its customers by recruiting diverse teams. Join our Recommendations team within Intelligent Talent Acquisition (ITA) where you’ll build … ideal candidate has a strong scientific foundation and experience of statistical analysis and model building and has a passion for fairness and explainability in ML systems. Collaborate with engineers, scientists, and product managers to define requirements, create solutions, and deliver products that improve the hiring experience. Participate in the full ...

Data Science ManagerAre you an experienced Data Science leader with a passion for building and scaling AI/ML products? Lead a team of exceptional Data Scientists and ML Engineers building next-generation AI solutions for financial markets. Drive innovation using LLMs, Generative AI, Deep Learning, Transformers, Agentic … with Engineering teams to productionize AI solutions and drive operational excellence. Build, mentor, and lead high-performing teams of Data Scientists and AI/ML practitioners. Set clear goals, drive accountability, and support career growth and development. Lead performance management, coaching, feedback, and talent development activities. Foster a culture ...

expect to: Provide technical leadership, set architectural direction, and drive key design decisions across multidisciplinary teams. Design, build, and operate production AI/ML systems across areas such as generative AI, intelligent agents, predictive modeling, and optimization. Develop reusable AI platforms, services, and infrastructure that accelerate experimentation, deployment, monitoring … years of software engineering experience, including significant experience designing, building, and operating complex production systems. 6+ years of experience building and deploying AI/ML, optimization, or other model-driven applications in production. Strong proficiency in Python and a track record of developing maintainable, well-tested production software. Strong ...

Description: Your ImpactAre you a software engineer with a working knowledge of Artificial Intelligence (AI) and Machine Learning (ML)? Are you interested in developing software for some of the most cutting-edge defence and aerospace projects in the UK? If the prospect of developing software for projects such … will contribute to the delivery of leading-edge solutions for challenging civilian and military projects. Leonardo has a significant interest in exploiting AI/ML technologies. In this role, you will support our systems engineers on research projects while developing deployable software solutions that leverage AI/ML capabilities. What ...

real-life problems with data and modern technologies Ability to work collaboratively and communicate effectively Sound knowledge and experience developing and deploying statistical and machine learning models, supervised and unsupervised Python expertise SQL Big Data, including Spark BI tools such as Tableau or Power BI Modern software development … Microsoft Azure (desirable) Core Competencies Demonstrates expertise in developing and deploying data science solutions, with a strong focus on statistical and machine learning models. Proficient in data wrangling, compliance with best practices, and effective communication with stakeholders. Highest-signal resume keywords Python Expertise SQL Big Data Including Spark ...

expect to: Provide technical leadership, set architectural direction, and drive key design decisions across multidisciplinary teams. Design, build, and operate production AI/ML systems across areas such as generative AI, intelligent agents, predictive modeling, and optimization. Develop reusable AI platforms, services, and infrastructure that accelerate experimentation, deployment, monitoring … years of software engineering experience, including significant experience designing, building, and operating complex production systems. 4+ years of experience building and deploying AI/ML, optimization, or other model-driven applications in production. Strong proficiency in Python and a track record of developing maintainable, well-tested production software. Strong ...

this role, you can expect to: Provide technical leadership, set architectural direction, and drive key design decisions across multidisciplinary teams. Design, build, andoperateproductionAI/ML systems across areas such as generative AI, intelligent agents, predictive modeling, and optimization. Develop reusable AI platforms, services, and infrastructure that accelerate experimentation, deployment, monitoring … 12+ years of software engineering experience, including significantexperiencedesigning, building, and operating complex production systems. 6+ years of experience building and deploying AI/ML, optimization, or other model-driven applications in production. Strongproficiencyin Python anda track recordof developing maintainable, well-tested production software. Strong SQL skills and experience working with ...

products. Use experimental data and user feedback to analyse system performance and refine models and algorithms. Stay current with relevant developments in applied mathematics, machine learning, robotics and autonomous systems. Present results to internal and external stakeholders. For more experienced candidates, contribute to technical strategy, mentor colleagues … academic background in mathematics, physics, engineering or a related discipline (BSc, MSc or PhD). Good understanding of statistics, linear algebra, probability, optimisation and machine learning techniques. Experience developing algorithms, numerical methods or physical simulations. Proficiency in at least one programming language used for scientific computing and prototyping ...

technical discipline. Research Skills: Comfortable with research methodologies and experimental design. Technical Expertise: In-depth understanding of operating systems, distributed systems, cloud computing, or machine learning systems. Programming: Strong coding proficiency in at least one key language (such as C or C++). Soft Skills: Excellent communication … collaborative teamwork abilities. Desirable Criteria PhD in operating systems, distributed systems, or machine learning systems. Track record of publications in top systems (e.g., NSDI, EuroSys, SoCC, OSDI) or machine learning (e.g., NeurIPS, ICML, ICLR) conferences and journals. Hands-on experience in the full lifecycle of developing ...

role with a clear pathway toward broader leadership responsibilities.The ideal candidate combines deep knowledge of power systems with advanced expertise in signal processing and machine learning, has experience across an entire algorithm development and deployment pipeline, from first idea and proof-of-concept through to deployment across complex … design and development of advanced algorithms for power system monitoring and grid analytics (e.g., transformers, asset health, and condition monitoring)* Develop **signal processing and machine learning techniques** to extract actionable insights from real-world sensor data.* Architect and deploy solutions across the **Edge-to-Cloud stack**, including implementation ...

that can drive your career in new and exciting ways In our team you will learn: How to help clients to use AI/ML technologies to solve business challenges How to design, deploy and run high quality AI/ML solutions across a range of industries with varying business … templates for emerging technologies based on client delivery experience and research We are looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB AI/ML architectural ...

collaboration with senior technical customers and cross-functional teams. The role is suited to a senior engineer with deep expertise in AI/ML security, modern software engineering, and secure-by-design approaches. You will champion secure architectures, embed DevSecOps practices, and help elevate engineering capability as the organisation adopts … looking for Experience operating as a senior security engineer and leading engineering initiatives in a DevSecOps environment. Strong expertise securing AI and ML systems at scale, including model lifecycle security, data pipelines, and secure deployment. Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow ...

environments Partner with AI Engineering and Data Science teams to improve developer experience, performance, and operational stability of AI systems Enable production deployment of ML models and LLMs within governed enterprise environments, aligned with firmwide risk and compliance standards Implement and maintain infrastructure as code and automation to ensure repeatable … cloud infrastructure, platform engineering, or systems engineering roles. 4+ hands-on expertise with AWS and/or Azure and/or GCP, including Azure ML, Azure Foundry, AWS Bedrock, Google Vertex, as well as cloud compute, networking, storage, and security services. Understanding of ML platform operations and governance concepts, including ...

Junior AI Engineer/Machine Learning Engineer no experience needed From £40,000 - £65,000 *This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back* Train. Certify. Get Hired. AI is expected to generate 170 million jobs … Data+ CompTIA DataAI Practical, real-world project work designed to help you develop hands-on skills Dedicated 1-to-1 tutor support throughout your learning journey CV support, interview preparation, and career coaching Access to our employer network and recruitment partners Starting Salaries Upon successful completion of the programme ...

including predictive forecasting and generative or agentic use cases; familiarity with SQL, APIs and modern data-integration technologies, and some exposure to Python or ML platforms (deep engineering isn't required); relevant EPM, cloud-data or AI certifications; and a professional finance or accounting qualification (ACA, ACCA, CIMA or equivalent … including predictive forecasting and generative or agentic use cases; familiarity with SQL, APIs and modern data-integration technologies, and some exposure to Python or ML platforms (deep engineering isn't required); relevant EPM, cloud-data or AI certifications; and a professional finance or accounting qualification (ACA, ACCA, CIMA or equivalent ...

required to provide hands-on technical leadership to an agile development team within client’s Land Registration domain seeking to leverage document processing and ML to realise new automation opportunities for the organisation. SKILLS/EXPERIENCE OF THE PYTHON ENGINEER Commercial experience with AI/ML technology: OCR, Object Detection … endpoints Requests library for HTTP client operations and external API integration Authentication/authorization implementation (JWT, OAuth) Software Development: Making excellent quality AI/ML software collaboratively with other engineers Working effectively under technical leadership while contributing specialized AI/ML expertise Design and implementation of AI/ML solutions ...

developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environmentExperience Required:·Strong Python and SQL experience·Applied AI engineering, ML engineering or software engineering background·Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning·Exposure to LangChain, LangGraph, Agent Development Kit or similar agent ...

teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent ...

driving the data engineering strategy and roadmap, owning scalable data pipelines, embedding secure-by-design principles, and enabling production-grade data foundations for AI, machine learning and advanced analytics. You’ll also partner across Security, Cloud, Architecture and Product teams while mentoring engineers and building a high-performing … would be great if you had any of the following... Exposure to MLOps or SMLOps tooling and model lifecycle management Experience supporting AI/ML pipelines, feature engineering or analytics platforms Knowledge of AI governance and secure adoption of generative or agentic AI Experience working in security-focused or regulated ...

passion for working across teams. Preferred SkillsPrior experience in a people management or tech lead role within a data engineering or analytics teamFamiliarity with machine learning workflows, data observability, and streaming architecturesExperience working in a product-driven, customer-focused organizationUnderstanding of data privacy, security, and compliance frameworksABOUT FANDUELFanDuel ...

looking for? Experience operating as a senior security engineer and leading engineering initiatives in a DevSecOps environment. Strong expertise securing AI and ML systems at scale, including model lifecycle security, data pipelines, and secure deployment. Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow … Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML). Solid understanding of cloud‐native and containerised architectures, including Kubernetes and serverless technologies. Experience operating in complex hybrid environments, spanning public cloud, private cloud and on‐premise platforms. Experience building automation and engineering tooling using Python, Go, or similar ...

technical stakeholders Desirable Experience with: Vulnerability research/exploit development Manual penetration testing Cloud, web, embedded or mobile security Splunk/OSQuery AI/ML security Distributed systems AWS Security Specialty, OSCP, CISSP, CCSP, CCAK or SANS/GIAC certifications Why consider it? You'll join a global technology organisation ...

experimentation using structured evaluation frameworks. You are highly proficient in Python, including asynchronous programming, multithreading and writing maintainable code You have experience deploying ML workloads to cloud platforms (Azure, AWS or GCP), with familiarity in CI/CD and containerisation (Docker/Podman). You have applied knowledge of statistics ...

projects in the Energy domain (Energy Management, Oil & Gas, Power & Water). Certified Scrum Master and/or Product Owner. Experience of AI/ML techniques/methodologies. An advanced understanding of Wide Area Monitoring and Control Systems (WAMCS). Benefits Relocation Assistance Provided: No Addressing the climate crisis ...