Manchester, Lancashire, England, United Kingdom Hybrid / WFH Options
Robert Walters
work, and everyday life. They are looking to develop an in-house voice generation and audio delivery system to enhance accessibility and emotional engagement and searching for the ML Engineer to work remotely that's going to make it happen! Senior MachineLearningEngineer - Speech/Voice AI (remote)Contract length: 3-monthIR-35 determination: OutsideLocation … life. They offer businesses a personal productivity app featuring tools for task breakdown, priority-setting, and structured support to manage anxiety, procrastination, and executive dysfunction. The platform combines tailored learning resources, assistive technology guidance, and mental health content in one accessible space. It serves both students and professionals, helping them build resilience, independence, and sustainable wellbeing through behaviour-change … for real-time playback and consistency across devices.- Create an inclusive, emotionally intelligent audio experience that deepens user connection and supports lasting behavioural wellbeing. Required skills:- Strong background in MachineLearning/Deep Learning with hands-on experience in speech or audio processing.- Experience fine-tuning or deploying modern TTS models (e.g. VITS, Bark, or FastSpeech2). More ❯
Role: MachineLearningEngineer London: Central London - hybrid working Salary: £125,000 + bonus + benefits You will lead the design & development of robust MachineLearning models to solve complex problems. You will work alongside MLOps to help build the ML infrastructure for these models to be deployed, and then maintain & scale these efficiently. … Experienced ML Engineer, working across LLM, Computer Vision, NLP, Deep Learning Experience with deploying ML models into production Degree in Computer Science, AI, Big Data, or equivalent More ❯
Senior ML Engineer - GenAI specialist position (based in Dubai, UAE - relocation support provided) Please note: This is an on-site position based in Dubai, United Arab Emirates. We are actively seeking talented Data Scientists who are interested in relocating. We provide the following support: Full visa sponsorship Airline tickets Hotel stay (for up to 30 days) Health insurance Company … AI strategy. Develop Advanced RAG Systems: Design, build, and optimize robust RAG pipelines to ground LLMs in external knowledge sources, ensuring factual accuracy and relevance. Build AI Agentic Workflows: Engineer and deploy collaborative multi-agent systems using frameworks like AutoGen or CrewAI to automate complex tasks and decision-making processes. Master Embedding Strategies: Create and manage high-quality vector … Graphs: Utilize LangChain or LangGraph to develop, prototype, and productionize complex, stateful applications and workflows powered by LLMs. Model Integration & Deployment: Fine-tune, evaluate, and deploy LLMs and other machinelearning models into production environments using MLOps best practices. What did we order? Experience with cloud platforms (AWS, GCP, or Azure). Bachelor's or Master's degree More ❯
MachineLearningEngineer (LLM) Transform Language Models into Real-World Applications We're building AI systems for a global audience. We are living in an era of AI transition - this new project team will be focusing on building applications to enable more real world impact and highest usage for the world. This role is a global role … only intelligent, but also safe, trustworthy, and impactful at scale. What You'll Do Fine-tune & adapt - Use LoRA/QLoRA to optimize open-source models (LLaMA, Mistral, Gemma) Engineer prompts & curates data - Craft prompts and datasets that reflect tone, brand voice, and safety. Evaluate models - Build metrics pipelines for perplexity, toxicity, and relevance to ensure safe and high … failure as part of growth - you're here to level up. Possess humility, hunger, and hustle, and lift others up as you go. Requirements Strong experience in transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation). Proficiency with PyTorch (preferred) or TensorFlow. Skilled in prompt engineering and dataset curation for alignment with tone, safety, and More ❯
The Product: AWS MachineLearning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of … AWS Neuron team works to optimize the performance of complex neural net models on our custom-built AWS hardware. More specifically, the AWS Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and MXNET, and converts them into code suitable for execution. As you might expect, the … minds in the engineering, research, and product communities, focused on the ambitious goal of creating a toolchain that will provide a quantum leap in performance. You: As a Sr. MachineLearning Compiler Engineer III on the AWS Neuron team, you will be a thought leader supporting the ground-up development and scaling of a compiler to handle More ❯
ML pipelines for time-series forecasting. Central London office based £90-120k+ highly negotiable Discretionary bonus 50-100% of salary An opportunity for an elite MachineLearningEngineer to join a very small, top-flight AI team (2-6 people within a larger international group) with arguably the leading macro hedge fund. The bonus potential is … design, implementation, and maintenance of ML pipelines for forecasting. You will prize taking ownership of the work, devising your own plans, impacting directly on the forecast. Responsibilities: Build scalable machinelearning pipelines for predominantly time-series forecasting Collaborate with data scientists and researchers to productionise models Manage cloud-based and on-prem setup Requirements: 25 years experience in More ❯
closely with our simulation engineers, data scientists and customers to develop an understanding of the physics and engineering challenges we are solving Design, build and test data pipelines for machinelearning that are reliable, scalable and easily deployable Explore and manipulate 3D point cloud & mesh data Own the delivery of technical workstreams, potentially while mentoring more junior colleagues … libraries, tooling and products Continuously apply and improve engineering best practices and standards and coach your colleagues in their adoption What you bring to the table Enthusiasm about using machinelearning for science and engineering Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly Excellent collaboration and communication skills - with teams … colleagues 3-6 years' experience in a data-driven role, with exposure to software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps) Building machinelearning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, MLFlow) Distributed computing frameworks (e.g., Spark, Dask) Cloud platforms (e.g., AWS, Azure, GCP) and HP More ❯
tens of millions of policies and raised over $200 million in funding. We're only just getting started. Who we're looking for We are looking for a Lead MachineLearningEngineer to play a key role in our Core Pricing team. You will drive innovation by optimising and automating pricing processes to enable faster, more accurate … Model lifecycle: You've got hands-on experience with managing the ML model lifecycle, including both online and batch processes Statistical Methodology: You have worked with GLMs and other machinelearning algorithms and have in-depth knowledge of how they work Python: You have built and deployed production-grade Python applications and you are familiar with data science More ❯
innovative, fast-scaling MedTech company that's redefining how lung cancer and lung diseases are diagnosed and treated, using cutting-edge AI. This is an excellent opportunity for a MachineLearningEngineer eager to contribute technical expertise and take ownership in a fast-moving environment with strong potential for growth. You’ll play a key role in … Participate in Agile processes, including planning and standups Support and enhance cloud and CI/CD infrastructure. Troubleshoot and resolve production challenges Ideal candidate 3yrs+ experience in computer vision, machinelearning, bioinformatics, or medical informatics Proven ability to build maintainable, secure, and high-performance solutions Strong proficiency in Python and modern ML frameworks Skilled in deploying and supporting … ML models in production Excellent communicator across technical teams and stakeholders Effective problem-solver who takes initiative in complex production settings Experience with scientific computing, deep learning, big data, or health IT ontologies (e.g., PyTorch, JAX, Spark, HL7, FHIR) (desirable) Familiarity with cloud infrastructure (Azure/AWS), infrastructure as code, Kubernetes, Linux, Docker, data pipelines, and MLOps tools (desirable More ❯
oxford district, south east england, united kingdom
Llama Recruitment Solutions
innovative, fast-scaling MedTech company that's redefining how lung cancer and lung diseases are diagnosed and treated, using cutting-edge AI. This is an excellent opportunity for a MachineLearningEngineer eager to contribute technical expertise and take ownership in a fast-moving environment with strong potential for growth. You’ll play a key role in … Participate in Agile processes, including planning and standups Support and enhance cloud and CI/CD infrastructure. Troubleshoot and resolve production challenges Ideal candidate 3yrs+ experience in computer vision, machinelearning, bioinformatics, or medical informatics Proven ability to build maintainable, secure, and high-performance solutions Strong proficiency in Python and modern ML frameworks Skilled in deploying and supporting … ML models in production Excellent communicator across technical teams and stakeholders Effective problem-solver who takes initiative in complex production settings Experience with scientific computing, deep learning, big data, or health IT ontologies (e.g., PyTorch, JAX, Spark, HL7, FHIR) (desirable) Familiarity with cloud infrastructure (Azure/AWS), infrastructure as code, Kubernetes, Linux, Docker, data pipelines, and MLOps tools (desirable More ❯
of policies so far, and raised over $200 million in funding. And we're only just getting started. Who we're looking for We are looking for a Lead MachineLearningEngineer to play a key role in our Core Pricing team. You will drive innovation by optimising and automating Pricing processes to enable faster, more accurate … Model lifecycle: You've got hands-on experience with managing the ML model lifecycle, including both online and batch processes Statistical Methodology: You have worked with GLMs and other machinelearning algorithms and have in-depth knowledge of how they work Python: You have built and deployed production-grade Python applications and you are familiar with data science More ❯
An AI-driven start-up, backed by $20M in Series A funding, is looking for its first MachineLearningEngineer to help scale their product and infrastructure. The platform transforms educational content into smart, personalised learning tools - and is already seeing rapid user growth and strong traction in the market. This is a unique opportunity to … features across a production platform Working across Python and TypeScript , integrating models into scalable, real-time systems Fine-tuning and training NLP models using techniques like transformers Driving the machinelearning strategy and building best practices from the ground up Collaborating closely with product, engineering, and leadership What we’re looking for: Strong commercial experience building and deploying More ❯
An AI-driven start-up, backed by $20M in Series A funding, is looking for its first MachineLearningEngineer to help scale their product and infrastructure. The platform transforms educational content into smart, personalised learning tools - and is already seeing rapid user growth and strong traction in the market. This is a unique opportunity to … features across a production platform Working across Python and TypeScript , integrating models into scalable, real-time systems Fine-tuning and training NLP models using techniques like transformers Driving the machinelearning strategy and building best practices from the ground up Collaborating closely with product, engineering, and leadership What we’re looking for: Strong commercial experience building and deploying More ❯
london, south east england, united kingdom Hybrid / WFH Options
Compare the Market
Data & AI Why this role matters At Compare the Market, we're applying AI to real-world problems that help millions of people make smarter financial decisions. As a MachineLearningEngineer, you'll work at the heart of this transformation—building the infrastructure and tooling that enables our data scientists to move from prototype to production … ideal for someone who wants to grow in a high-impact environment with strong mentorship and real ownership. What You'll Be Doing ML Engineering & Deployment Develop and maintain machinelearning pipelines for training, validation, and deployment Collaborate with data scientists to productionise models and turn prototypes into performant, reliable services Contribute to deployment tooling and automation for More ❯
Speechmatics is a cutting-edge applied AI Research company that is breaking down cultural barriers by building diverse and inclusive speech technology. We are looking for an experienced MachineLearningEngineer who can help us advance our automatic speech recognition (ASR) engines for Flow, our new Conversational AI companion and create interactive voice interfaces of the future … of audio and billion parameter modelswhich train across dozens of GPUs. It's all about finding bottlenecks across our 50+ languages. Our main research focuses arelarge-scale self-supervised learning, building state-of-the-art speech pipelines and breaking ground on our own emotive text-to-speech (TTS) models. What you'll be doing Working with a diverse group … of engineers across Speechmatics. Scaling self-supervised learning models across hundreds of GPUs in the cloud. Experimenting with distillation or quantisation to speed up our models at runtime. Comparing compute efficiencies of architectures such as a transformer and the impact on WER. Developing new, state-of-the-art AI features, from training models, all the way to shipping it More ❯
are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. Who We're Looking For As a MachineLearningEngineer in Delivery, you are a problem solver and builder who is passionate about creating practical solutions that enable customers to make better engineering decisions. You … often side-by-side with them on-site) to build, deploy and maintain production-grade ML tools that are useful, and used. You design, build, and test reliable, scalable machinelearning pipelines, and you know when to explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling. You create analytics environments and resources in … for you. Hybrid setup - enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave - support for life's biggest milestones. Private healthcare - comprehensive coverage Personal development - access learning and training to help you grow. Work from anywhere - extend your remote setup to enjoy the sun or reconnect with loved ones. We value diversity and are committed to More ❯
MachineLearningEngineer UK – travel to Cambridge £80,000-£85,000 We're working with an early-stage, deep tech start-up led by PhD-level founders with a strong background in audio-focused machine learning. Backed by solid technical vision and real-world applications, they’re developing ground-breaking software that transforms earbuds into health More ❯
MachineLearningEngineer 18 month project, 6 month rolling contracts. Rate negotiable but upwards of 600 p/d. Looking for people with the following skillset: Python, Pytorch, Tensorflow, Langgraph, Langchain, CrewAI, LlamaIndex etc ML Ops VertexAI Prompt Engineering Apply through this advert or email jack.herbert@oliverbernard.com for more info. More ❯
MachineLearningEngineer 18 month project, 6 month rolling contracts. Rate negotiable but upwards of 600 p/d. Looking for people with the following skillset: Python, Pytorch, Tensorflow, Langgraph, Langchain, CrewAI, LlamaIndex etc ML Ops VertexAI Prompt Engineering Apply through this advert or email jack.herbert@oliverbernard.com for more info. More ❯
Senior Python Engineer - MachineLearning & Data Analysis Snoqualmie, WA Long Term Contract Onsite Job Key Responsibilities Design, develop, and deploy Python-based ML solutions for large-scale data analysis. Build ETL/data pipelines to process structured and unstructured datasets. Perform exploratory data analysis (EDA), feature engineering, and model evaluation. Collaborate with data scientists, analysts, and business … accuracy. Mentor junior engineers and review code for quality and best practices. Required Skills & Experience Strong proficiency in Python (Pandas, NumPy, Scikit-learn, FastAPI/Flask). Experience with machinelearning workflows: data preprocessing, model training, evaluation, and deployment preferably using Microsoft stack - Azure ML, Azure Data Factory, Synapse Analytics, and related Microsoft AI/ML tools. Knowledge … of cloud-based MLOps practices. Strong SQL and data modelling skills. Experience with deep learning frameworks (PyTorch, TensorFlow) is nice to have. Knowledge of containerization (Docker, Kubernetes) is nice to have. More ❯
Senior MachineLearningEngineer London - Hybrid £I'm partnering with a dynamic AI consultancy that embeds itself within client businesses, listening closely, then building bespoke agentic AI solutions that automate processes, improve speed, and enhance decision-making. As a Senior AI/ML Engineer, you will: Build & Deploy AI-Driven Software Solutions You'll blend More ❯
Senior MachineLearningEngineer London - Hybrid £110,000-£130,000 I'm partnering with a dynamic AI consultancy that embeds itself within client businesses, listening closely, then building bespoke agentic AI solutions that automate processes, improve speed, and enhance decision-making. Role Responsibilities As a Senior AI/ML Engineer, you will: Build & Deploy AI-Driven More ❯
Senior MachineLearningEngineer London - Hybrid £110,000-£130,000 I'm partnering with a dynamic AI consultancy that embeds itself within client businesses, listening closely, then building bespoke agentic AI solutions that automate processes, improve speed, and enhance decision-making. Role Responsibilities As a Senior AI/ML Engineer, you will: Build & Deploy AI-Driven More ❯
Senior MachineLearningEngineer London - Hybrid £110,000-£130,000 I'm partnering with a dynamic AI consultancy that embeds itself within client businesses, listening closely, then building bespoke agentic AI solutions that automate processes, improve speed, and enhance decision-making. Role Responsibilities As a Senior AI/ML Engineer, you will: Build & Deploy AI-Driven More ❯
london (city of london), south east england, united kingdom
Harnham
Senior MachineLearningEngineer London - Hybrid £110,000-£130,000 I'm partnering with a dynamic AI consultancy that embeds itself within client businesses, listening closely, then building bespoke agentic AI solutions that automate processes, improve speed, and enhance decision-making. Role Responsibilities As a Senior AI/ML Engineer, you will: Build & Deploy AI-Driven More ❯