One of Europe's most exciting Analytics software companies is looking to hire a MachineLearning Engineer. If your a MachineLearning expert, and are interested in working on automation, AI, NLP & Data Visualisation software products for big corporates then this role might be for you. You will join a rapidly expanding team of experts providing … valuable solutions to some of the world's biggest organisations around Risk Management & Cyber Security. Strong STEM degree, ideally MSc level & above Good knowledge & Experience of MachineLearning Algorithms Strong Software Engineering skills - ideally Python Ability to articulate how you have solved complex problems in the past through technical solutions You will join a hugely talented team of … MachineLearning Engineers, and an employer committed to Employee wellbeing. Regular Mental health, fitness & yoga sessions are a part of the working day as well as regular company away days. Apply now to the MachineLearningEngineer role by clicking on the link and uploading either your CV or an Executive Bio. More ❯
Role: MachineLearningEngineer Bill Rate: $95/hour C2C Location: Dallas, TX Duration: 12+ months/long-term Interview Criteria: Telephonic + Skype Direct Client Requirement Job Details We are seeking a skilled and passionate MachineLearningEngineer to join our team and help design, build, and optimize scalable ML solutions. The ideal … candidate will have deep expertise in the Python ML ecosystem and experience developing and managing robust model training pipelines. Key Responsibilities: Design and implement scalable machinelearning models and training workflows using PyTorch or TensorFlow. Develop and maintain end-to-end ML pipelines, from data preprocessing to model deployment. Leverage the Python ecosystem (NumPy, pandas, scikit-learn, spaCy … NLTK, Hugging Face Transformers) for feature engineering, model development, and evaluation. Manage and track machinelearning experiments using MLflow, ensuring reproducibility, versioning, and lifecycle management. Collaborate with data scientists, software engineers, and product teams to deploy ML models into production environments. Continuously optimize models and pipelines for performance, scalability, and accuracy. Note: If you are interested, please share More ❯
remote, oregon, united states Hybrid / WFH Options
Zillow
comprises scientists and engineers working together to deliver a delightful customer experience. We strongly believe in accountability, collaboration, and transparency. About the role Zillow is looking for a Principal MachineLearningEngineer on the Agentic AI team to develop advanced multimodal foundational technologies. They will be hands-on in prototyping ideas, evaluating, and deploying models to Zillow … s highly scalable infrastructure platforms. They’ll be developing perception and language understanding, deep reasoning, and reinforcement learning to handle AI agent decision-making. As a Principal MachineLearningEngineer on the Agentic AI team, you will: Leverage frameworks like AgentSDK, and LangChain/LangGraph to design, prototype, and develop multi-agent systems that are capable … and location. Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside. Who you are As a Principal MachineLearningEngineer, you are a roll-up-the-sleeves and get-it-done engineer who can marry state-of-the-art technology (i.e., LLM models, either More ❯
remote, oregon, united states Hybrid / WFH Options
Zillow
comprises scientists and engineers working together to deliver a delightful customer experience. We strongly believe in accountability, collaboration, and transparency. About the role Zillow is looking for a Senior MachineLearningEngineer for the Agentic AI team to develop advanced multimodal customer experiences. They will be hands-on in prototyping ideas, training models, evaluating, and deploying them … to Zillow's highly scalable infrastructure platforms. They’ll be building vision and language understanding models with deep reasoning and reinforcement learning to handle AI agent decision-making. As a Senior MachineLearningEngineer in the Agentic AI team, you will: Leverage agentic frameworks like Agents SDK, or LangGraph to design, prototype, and develop multi-agent … and location. Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside. Who you are As a Senior MachineLearningEngineer, you are a roll-up-the-sleeves and get-it-done engineer who can marry state-of-the-art technology with large-scale engineering. More ❯
of the AI revolution! The Team: Our team plays a pivotal role in enhancing the capabilities and efficiency of our advanced AI systems. We design solutions that enable our machinelearning models to scale seamlessly and perform optimally in real-world applications and large scale research. Collaborating across InstaDeep, we directly impact projects in diverse fields including Life … Sciences, Logistics, Chip Design, and Quantum ML. The Role: We seek a highly skilled MachineLearningEngineer with a passion for tackling the challenges of large-scale ML development. You'll play a vital role in making our ambitious AI solutions a practical reality. If you thrive on system-level analysis, find joy in squeezing every ounce … of performance from hardware, and love diving deep into algorithm optimisation, this is the position for you. Responsibilities Scaling Expertise: Design and implement strategies to efficiently scale machinelearning models across diverse hardware platforms (GPU/TPU). Performance Optimisation: Analyse and profile ML systems under heavy load, pinpointing bottlenecks, and implementing targeted optimisations. Distributed Systems Architecture: Create More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Sanderson
MachineLearning/Data Engineer £700-750/day overall assignment rate to umbrella Fully remote 3-6 month initial Apply today to join a forward-thinking, tech-driven FTSE 100 organisation using data science and AI to enhance customer experience, optimise supply chains and drive sustainable growth. With 40% of sales from sustainable products, this is … a company that combines scale, innovation and purpose. As a MachineLearningEngineer, you'll help maintain the stability and performance of core data and ML systems across Europe. This technical engineering role focuses on reliability, optimisation and critical fixes, ideal if you excel at investigating and debugging complex data flows and ML issues in live production … environments. We're looking for individuals with: Experience: Proven background as a MachineLearning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services). Expertise: Solid understanding of computer science fundamentals and time-series More ❯
in the UK, 1 in Japan, and 1 in Seattle to build the future of advanced metal components. To do this it uses proprietary software packages which combine advanced machinelearning and physical modelling to invent better alloys, devise better ways to process them, and design better 3D-printed components. Responsibilities Design, develop and validate novel machinelearning models to optimize manufacturing processes and material composition Collaborate closely with process engineers, material scientists and other domain experts to identify and engineer the most meaningful features Develop Alloyed’s machinelearning platforms to facilitate adoption and application of validated models Work as part of a fast-paced, agile development team Identify and prioritize … practices and model governance Essential Skills Bachelor’s degree in science, engineering, mathematics or computer science (2:1 minimum) Strong python development skills Practical experience in the development of machinelearning models and/or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker More ❯
in the UK, 1 in Japan, and 1 in Seattle to build the future of advanced metal components. To do this it uses proprietary software packages which combine advanced machinelearning and physical modelling to invent better alloys, devise better ways to process them, and design better 3D-printed components. Responsibilities Design, develop and validate novel machinelearning models to optimize manufacturing processes and material composition Collaborate closely with process engineers, material scientists and other domain experts to identify and engineer the most meaningful features Develop Alloyed’s machinelearning platforms to facilitate adoption and application of validated models Work as part of a fast-paced, agile development team Identify and prioritize … practices and model governance Essential Skills Bachelor’s degree in science, engineering, mathematics or computer science (2:1 minimum) Strong python development skills Practical experience in the development of machinelearning models and/or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker More ❯
in the UK, 1 in Japan, and 1 in Seattle to build the future of advanced metal components. To do this it uses proprietary software packages which combine advanced machinelearning and physical modelling to invent better alloys, devise better ways to process them, and design better 3D-printed components. Responsibilities Design, develop and validate novel machinelearning models to optimize manufacturing processes and material composition Collaborate closely with process engineers, material scientists and other domain experts to identify and engineer the most meaningful features Develop Alloyed’s machinelearning platforms to facilitate adoption and application of validated models Work as part of a fast-paced, agile development team Identify and prioritize … practices and model governance Essential Skills Bachelor’s degree in science, engineering, mathematics or computer science (2:1 minimum) Strong python development skills Practical experience in the development of machinelearning models and/or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker More ❯
oxford district, south east england, united kingdom
Alloyed
in the UK, 1 in Japan, and 1 in Seattle to build the future of advanced metal components. To do this it uses proprietary software packages which combine advanced machinelearning and physical modelling to invent better alloys, devise better ways to process them, and design better 3D-printed components. Responsibilities Design, develop and validate novel machinelearning models to optimize manufacturing processes and material composition Collaborate closely with process engineers, material scientists and other domain experts to identify and engineer the most meaningful features Develop Alloyed’s machinelearning platforms to facilitate adoption and application of validated models Work as part of a fast-paced, agile development team Identify and prioritize … practices and model governance Essential Skills Bachelor’s degree in science, engineering, mathematics or computer science (2:1 minimum) Strong python development skills Practical experience in the development of machinelearning models and/or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker More ❯
Manchester, Lancashire, England, United Kingdom Hybrid / WFH Options
Involved Solutions
AI/MachineLearningEngineer (NLP/LLM) - Contract Duration: 6 months Rate: Up to £500 per day IR35: Outside Location: Fully Remote (occasional ad-hoc travel to office) The Role: A leading Regulatory Tech company is seeking a Contract MachineLearningEngineer/Data Scientist to support the development of next-generation AI … tasks, ensuring accuracy, efficiency, and scalability. Experience Requirements: Proven experience in Natural Language Processing (NLP) and Large Language Models (LLMs), including training LLMs from scratch. Strong understanding of deep learning principles and experience working with transformer-based architectures (e.g., GPT, BERT, T5). Solid background in data science and machinelearning, including model development, training, evaluation, and More ❯
Cambridge, England, United Kingdom Hybrid / WFH Options
Neutreeno
for Sustainability Leadership for the 2025 Earthshot Prize, we're ready to grow. Join us in revolutionising decarbonisation and tapping into the $130B addressable market! The Role As a MachineLearningEngineer at Neutreeno, you'll lead the development of intelligent systems that power our emissions and decarbonisation capabilities. Working at the cutting edge of machinelearning and sustainability, you'll build platforms that transform complex data into actionable insights for thousands of companies globally. Your innovations will directly power breakthrough solutions that identify critical decarbonisation opportunities across entire industries and supply chains. You'll push the boundaries of what's possible with AI-driven climate tech developing advanced models that process vast amounts … tune out-of-the-box models for matching textual and quantitative data to entries in our emissions database with uncertainty estimation Develop our emission intensity inference model using deep learning techniques that leverage uncertainty Advise on the out-of-the-box Large Language Models to extract data from a variety of sources Advise on construction of data-pipelines to More ❯
cambridge, east anglia, united kingdom Hybrid / WFH Options
Neutreeno
for Sustainability Leadership for the 2025 Earthshot Prize, we're ready to grow. Join us in revolutionising decarbonisation and tapping into the $130B addressable market! The Role As a MachineLearningEngineer at Neutreeno, you'll lead the development of intelligent systems that power our emissions and decarbonisation capabilities. Working at the cutting edge of machinelearning and sustainability, you'll build platforms that transform complex data into actionable insights for thousands of companies globally. Your innovations will directly power breakthrough solutions that identify critical decarbonisation opportunities across entire industries and supply chains. You'll push the boundaries of what's possible with AI-driven climate tech developing advanced models that process vast amounts … tune out-of-the-box models for matching textual and quantitative data to entries in our emissions database with uncertainty estimation Develop our emission intensity inference model using deep learning techniques that leverage uncertainty Advise on the out-of-the-box Large Language Models to extract data from a variety of sources Advise on construction of data-pipelines to More ❯
industry's leading companies, our global talent has helped many clients achieve their goals. The 3 G's of RE: "Get Shit Done." "Get Over Shit." "Give a Shit." MachineLearningEngineer This role exists to support the business in utilizing MachineLearning applications to drive additional value for our customers by feeding into the … solutions whilst setting up resilient and future-proof ML infrastructure and engineering foundations. Designing and developing our ML Operations (MLOps) infrastructure and practices to support the effective transition of machinelearning models and PoCs into production in a cost and operationally efficient manner. Monitoring, and maintaining the health of new and existing ML models post deployment; Working with … to support the effective documentation of our work. Working with third party partners and software providers to improve, implement and/or support the move to production of novel MachineLearning solutions. Raising awareness of best practices for MLOps; collaborating and knowledge sharing with individuals across the data and software teams, and wider business. Collaborating with Data Science More ❯
recommender systems and search algorithms, building the core infrastructure that powers millions of meaningful connections. Working in the Search & Match domain, you will be focusing on deploying and scaling machinelearning models, particularly large language models (LLMs). You will collaborate with data scientists to make sure our models are efficient and can be properly optimized for cost … and performance. You will work with software engineers to set up modern machinelearning pipelines ensuring high operational standards. If you'd like to make a difference by maintaining cutting-edge, scalable machinelearning infrastructure that brings the right people to the right jobs, then we'd love to hear from you! You will play a … pipelines and services to support real-time ML applications Maintain and improve recommender systems Build and work with modern API and microservices architectures Strong foundation in Python Experience with machinelearning, familiar with Huggingface, Pytorch, and similar ML tools and packages Familiarity with deploying and scaling ML models in the cloud, particularly with AWS and SageMaker Understanding of More ❯
MachineLearningEngineer, London (5 days a month), £90,000 - £110,000 per annum My client, a leading regulatory intelligence company are currently looking to bring on an ML Engineer on a permanent basis. This is a key hire for the business and will look to move quickly for the right candidate. They are based in … Central London and you will be required in their London office 5 days per month. As ML Engineer, your mission is to: Participate in the continuous improvement of our client's products Develop advanced NLP and AI-based products that will delight users Provide excellence in cloud-based ML engineering, with as much focus on Operations as Development. Expand … of the Team’s knowledge via demonstration and documentation Key Responsibilities As a machinelearningengineer, your main responsibility is to conduct the development and productionisation of ML and NLP-based features for the client's products - a SaaS Platform and an API. Develop optimal ML & NLP solutions for use cases, from baseline to SOTA approaches, wherever More ❯
MachineLearningEngineer, London (5 days a month), £90,000 - £110,000 per annum My client, a leading regulatory intelligence company are currently looking to bring on an ML Engineer on a permanent basis. This is a key hire for the business and will look to move quickly for the right candidate. They are based in … Central London and you will be required in their London office 5 days per month. As ML Engineer, your mission is to: Participate in the continuous improvement of our client's products Develop advanced NLP and AI-based products that will delight users Provide excellence in cloud-based ML engineering, with as much focus on Operations as Development. Expand … of the Team’s knowledge via demonstration and documentation Key Responsibilities As a machinelearningengineer, your main responsibility is to conduct the development and productionisation of ML and NLP-based features for the client's products - a SaaS Platform and an API. Develop optimal ML & NLP solutions for use cases, from baseline to SOTA approaches, wherever More ❯
london (city of london), south east england, united kingdom
Norton Blake
MachineLearningEngineer, London (5 days a month), £90,000 - £110,000 per annum My client, a leading regulatory intelligence company are currently looking to bring on an ML Engineer on a permanent basis. This is a key hire for the business and will look to move quickly for the right candidate. They are based in … Central London and you will be required in their London office 5 days per month. As ML Engineer, your mission is to: Participate in the continuous improvement of our client's products Develop advanced NLP and AI-based products that will delight users Provide excellence in cloud-based ML engineering, with as much focus on Operations as Development. Expand … of the Team’s knowledge via demonstration and documentation Key Responsibilities As a machinelearningengineer, your main responsibility is to conduct the development and productionisation of ML and NLP-based features for the client's products - a SaaS Platform and an API. Develop optimal ML & NLP solutions for use cases, from baseline to SOTA approaches, wherever More ❯
Please note this Role is based in London, local candidates only! Solvo.ai is redefining global container shipping with AI. We build machinelearning systems that power intelligent, sustainable, and profitable decision-making for one of the world’s most complex industries. Nothing we do is hypothetical. Everything we do has a measurable impact. Our combined experience of over … stand proudly, not just for what we achieve, but for how we achieve it - creating trust through professionalism, integrity, and transparency. The role: We are looking for an exceptional MachineLearningEngineer (MLE) to join our team and accelerate the next generation of Solvo’s AI products. This is a hands-on role at the intersection of … onto the broader business context. You will have the freedom to propose, research and implement innovative new ideas to improve our system. If you want to apply cutting-edge machinelearning to a trillion-dollar industry, and you’re motivated by seeing your work have immediate business impact, we’d love to hear from you. Your responsibilities Innovate More ❯
Please note this Role is based in London, local candidates only! Solvo.ai is redefining global container shipping with AI. We build machinelearning systems that power intelligent, sustainable, and profitable decision-making for one of the world’s most complex industries. Nothing we do is hypothetical. Everything we do has a measurable impact. Our combined experience of over … stand proudly, not just for what we achieve, but for how we achieve it - creating trust through professionalism, integrity, and transparency. The role: We are looking for an exceptional MachineLearningEngineer (MLE) to join our team and accelerate the next generation of Solvo’s AI products. This is a hands-on role at the intersection of … onto the broader business context. You will have the freedom to propose, research and implement innovative new ideas to improve our system. If you want to apply cutting-edge machinelearning to a trillion-dollar industry, and you’re motivated by seeing your work have immediate business impact, we’d love to hear from you. Your responsibilities Innovate More ❯
Please note this Role is based in London, local candidates only! Solvo.ai is redefining global container shipping with AI. We build machinelearning systems that power intelligent, sustainable, and profitable decision-making for one of the world’s most complex industries. Nothing we do is hypothetical. Everything we do has a measurable impact. Our combined experience of over … stand proudly, not just for what we achieve, but for how we achieve it - creating trust through professionalism, integrity, and transparency. The role: We are looking for an exceptional MachineLearningEngineer (MLE) to join our team and accelerate the next generation of Solvo’s AI products. This is a hands-on role at the intersection of … onto the broader business context. You will have the freedom to propose, research and implement innovative new ideas to improve our system. If you want to apply cutting-edge machinelearning to a trillion-dollar industry, and you’re motivated by seeing your work have immediate business impact, we’d love to hear from you. Your responsibilities Innovate More ❯
london (city of london), south east england, united kingdom
Solvo.ai
Please note this Role is based in London, local candidates only! Solvo.ai is redefining global container shipping with AI. We build machinelearning systems that power intelligent, sustainable, and profitable decision-making for one of the world’s most complex industries. Nothing we do is hypothetical. Everything we do has a measurable impact. Our combined experience of over … stand proudly, not just for what we achieve, but for how we achieve it - creating trust through professionalism, integrity, and transparency. The role: We are looking for an exceptional MachineLearningEngineer (MLE) to join our team and accelerate the next generation of Solvo’s AI products. This is a hands-on role at the intersection of … onto the broader business context. You will have the freedom to propose, research and implement innovative new ideas to improve our system. If you want to apply cutting-edge machinelearning to a trillion-dollar industry, and you’re motivated by seeing your work have immediate business impact, we’d love to hear from you. Your responsibilities Innovate More ❯
Please note this Role is based in London, local candidates only! Solvo.ai is redefining global container shipping with AI. We build machinelearning systems that power intelligent, sustainable, and profitable decision-making for one of the world’s most complex industries. Nothing we do is hypothetical. Everything we do has a measurable impact. Our combined experience of over … stand proudly, not just for what we achieve, but for how we achieve it - creating trust through professionalism, integrity, and transparency. The role: We are looking for an exceptional MachineLearningEngineer (MLE) to join our team and accelerate the next generation of Solvo’s AI products. This is a hands-on role at the intersection of … onto the broader business context. You will have the freedom to propose, research and implement innovative new ideas to improve our system. If you want to apply cutting-edge machinelearning to a trillion-dollar industry, and you’re motivated by seeing your work have immediate business impact, we’d love to hear from you. Your responsibilities Innovate More ❯
annapolis junction, maryland, united states Hybrid / WFH Options
Lockheed Martin
Job ID: 705786BR Date posted: Sep. 23, 2025 Description: THE WORK The Artificial Intelligence/MachineLearning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models they create should be capable of learning and making predictions as defined by the business logic developed … to meet customer requirements. The AI/ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving … models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance. The AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills. WHO WE ARE More ❯
MachineLearningEngineer - LLMs/Generative AI We're working with a pioneering tech organisation driving the next wave of generative AI. They're seeking a MachineLearningEngineer to help transform cutting-edge research into production-grade systems. What You'll Be Doing: Designing and scaling infrastructure, workflows, and tools to power Large More ❯