1 to 25 of 57 Machine Learning Jobs in Midlothian

world environments where data is noisy, conditions are uncontrolled, and failure is not an option. The client is at the frontier of what embedded ML can do. Most organisations are still building cloud-first systems. They are building ground-truth systems: devices that operate autonomously, make decisions in real time … relevant libraries: scikit-learn, TensorFlow, pandas, NumPy Real-world experience working with sensor data, time-series data, or IoT data streams Familiarity with embedded ML tools and approaches: TensorFlow Lite, Edge Impulse, ONNX Runtime, or equivalent Hands-on mindset; comfortable getting close to hardware, firmware code, and the real-world ...

transformation in secure environments where quality, assurance and governance matter.Your work will help clients move from data science experimentation to production-ready AI and ML solutions that are scalable, explainable, secure and aligned to measurable mission outcomes.Connect to your career at Deloitte Deloitte drives progress. Using our vast range … action we take, guiding us to deliver impact how and where it matters most.Connect to your opportunity We are seeking to hire experienced ML Engineers within our AI Scaling and Transformation team, a centre of excellence in Deloitte’s Engineering, AI & Data service offering.You will work alongside clients, third parties ...

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 ...

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 … closely 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 of innovation, collaboration, ownership ...

take, guiding us to deliver impact how and where it matters most.Connect to your opportunity We are seeking to hire talented AI/ML Engineers within our AI Scaling and Transformation team, a centre of excellence in Deloitte’s Engineering, AI & Data service offering.You will work alongside clients, third parties … technical capability with client-facing delivery, helping to translate business needs into production-ready AI and machine learning systems.As an AI/ML Engineer, you will play a key role in designing, developing and delivering data and AI solutions for our clients. In this role ...

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 … candidates 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 ...

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 ...

pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

opportunities that can drive your career in new and exciting waysIn our team you will learn:How to help clients to use AI/ML technologies to solve business challengesHow 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 researchWe 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 DBAI/ML architectural patterns ...

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 ...

Embedded Machine Learning and Real-Time Sensor Classification Introduced by: KO2 Embedded Recruitment Solutions Client Location: Edinburgh Salary: £60,000 to £70,000 per annum The Opportunity Our client is building the next generation of real-time detection systems that operate at the edge of the network, where ...

engineering in 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 … itWhat we’re 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 ...

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 ...

design and delivery of secure, scalable and resilient AWS environments.AWS technologies and services across compute, storage, networking, databases, analytics, integration, security and management.AI and machine learning services on AWS, including Amazon Bedrock, Amazon SageMaker AI, Amazon Q, Amazon Comprehend, Amazon Transcribe, Amazon Rekognition and related managed AI services.Generative … cost management, observability and operational readiness.Providing an authoritative point of view on how AWS enables emerging technology trends such as generative AI, agentic AI, machine learning, data platforms, serverless, containers and modern application architectures.Helping clients design and deliver AI-enabled solutions on AWS using services such as Amazon ...

delivery of secure, scalable and resilient AWS environments.· AWS technologies and services across compute, storage, networking, databases, analytics, integration, security and management.· AI and machine learning services on AWS, including Amazon Bedrock, Amazon SageMaker AI, Amazon Q, Amazon Comprehend, Amazon Transcribe, Amazon Rekognition and related managed AI services. … management, observability and operational readiness.· Providing an authoritative point of view on how AWS enables emerging technology trends such as generative AI, agentic AI, machine learning, data platforms, serverless, containers and modern application architectures.· Helping clients design and deliver AI-enabled solutions on AWS using services such ...

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 ...

exceptional BSc/MSc engineers looking to build research-driven engineering experience in areas such as operating systems, distributed systems, AI model serving, and machine learning infrastructure. You will work closely with senior architects on real-world projects, helping to prototype and optimize next-generation AI infrastructure. Required … effective technical communication skills. Desired Qualifications and Experience: PhD in systems, distributed computing, or large-scale AI infrastructure. Publications in top-tier systems or ML conferences (NSDI, OSDI, EuroSys, SoCC, MLSys, NeurIPS, ICML, ICLR). Understanding of load balancing, state management, fault tolerance, and resource scheduling in large-scale ...

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 ...

Oracle, PostgreSQL, SQL Server etc.Excellent problem-solving and interpersonal skills.Preferred Qualifications: Experience with machine learning frameworks and tools such as Azure ML Studio, AWS Sagemaker etc. Knowledge of real-time data processing and stream analytics such as Apache Kafka, Azure Event Hubs or similar. Hands on experience with ...

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 ...

data governance frameworks, ensuring data integrity, and fostering a data-driven culture across the organisation. In an era where data fuels every algorithm and machine learning model, our work is foundational to Deloitte's advancements in Artificial Intelligence (AI), including cutting-edge Generative AI (GenAI) and Agentic … impact AI model performanceApplication of AI technologies to Data Quality ManagementData Quality Rule Definition and Implementation:Work closely with business stakeholders and AI/ML teams to define, refine, and validate data quality rules, ensuring they align with business requirements and the specific needs of GenAI and Agentic AI modelsEnsure ...

Machine Learning Engineer, AI Startup (Edinburgh, hybrid, UK-wide considered) An early-stage AI infrastructure company building a persistent, high-speed knowledge layer for agentic AI, letting thousands of AI agents query a shared knowledge base concurrently. Spinning out of a leading UK university, currently hardware … infrastructure, having shipped production software Hands-on experience with agentic pipelines, LLM fine-tuning, RAG/GraphRAG, or knowledge graphs Strong Python, comfortable across ML, distributed systems, and performance engineering Track record building benchmarks/eval frameworks with real rigour Systems thinker, high agency, comfortable with ambiguity Strong communicator able ...

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 … teamsAnd it would be great if you had any of the following...Exposure to MLOps or SMLOps tooling and model lifecycle managementExperience supporting AI/ML pipelines, feature engineering or analytics platformsKnowledge of AI governance and secure adoption of generative or agentic AIExperience working in security-focused or regulated environmentsFamiliarity with ...

represent Deloitte in client leadership forums.The following will be an added advantage:Relevant certifications in cloud and AI (e.g., AWS, Azure or GCP; machine learning or data engineering certifications).Experience establishing responsible AI practices (governance, risk and controls) for generative AI and advanced analytics.Consulting experience leading multi-workstream ...