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Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for a proficient Data Scientist to help advance AI development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of the art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform. Benefits: * Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. * Flexible schedule: choose which projects you take on and when you work. * Competitive pay: projects are paid hourly, starting at $40+ USD per hour. Opportunities for higher-paying projects are available with strong performance. * Impact: help shape the future of AI technologies. Responsibilities: * Design and solve diverse coding problems used to train AI systems. * Write clear, high-quality code snippets and detailed explanations. * Evaluate AI-generated code for accuracy, performance, and clarity. * Provide feedback that directly shapes the next generation of AI models. Qualifications: * Fluency in English (native or bilingual level). * Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift. * Excellent writing and grammar skills. * A bachelor’s degree (completed or in progress). * Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for a proficient Data Scientist to help advance AI development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of the art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform. Benefits: * Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. * Flexible schedule: choose which projects you take on and when you work. * Competitive pay: projects are paid hourly, starting at $40+ USD per hour. Opportunities for higher-paying projects are available with strong performance. * Impact: help shape the future of AI technologies. Responsibilities: * Design and solve diverse coding problems used to train AI systems. * Write clear, high-quality code snippets and detailed explanations. * Evaluate AI-generated code for accuracy, performance, and clarity. * Provide feedback that directly shapes the next generation of AI models. Qualifications: * Fluency in English (native or bilingual level). * Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift. * Excellent writing and grammar skills. * A bachelor’s degree (completed or in progress). * Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for a proficient Data Scientist to help advance AI development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of the art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform. Benefits: * Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. * Flexible schedule: choose which projects you take on and when you work. * Competitive pay: projects are paid hourly, starting at $40+ USD per hour. Opportunities for higher-paying projects are available with strong performance. * Impact: help shape the future of AI technologies. Responsibilities: * Design and solve diverse coding problems used to train AI systems. * Write clear, high-quality code snippets and detailed explanations. * Evaluate AI-generated code for accuracy, performance, and clarity. * Provide feedback that directly shapes the next generation of AI models. Qualifications: * Fluency in English (native or bilingual level). * Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift. * Excellent writing and grammar skills. * A bachelor’s degree (completed or in progress). * Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for a proficient Data Scientist to help advance AI development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of the art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform. Benefits: * Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. * Flexible schedule: choose which projects you take on and when you work. * Competitive pay: projects are paid hourly, starting at $40+ USD per hour. Opportunities for higher-paying projects are available with strong performance. * Impact: help shape the future of AI technologies. Responsibilities: * Design and solve diverse coding problems used to train AI systems. * Write clear, high-quality code snippets and detailed explanations. * Evaluate AI-generated code for accuracy, performance, and clarity. * Provide feedback that directly shapes the next generation of AI models. Qualifications: * Fluency in English (native or bilingual level). * Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift. * Excellent writing and grammar skills. * A bachelor’s degree (completed or in progress). * Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for a proficient Data Scientist to help advance AI development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of the art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform. Benefits: * Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. * Flexible schedule: choose which projects you take on and when you work. * Competitive pay: projects are paid hourly, starting at $40+ USD per hour. Opportunities for higher-paying projects are available with strong performance. * Impact: help shape the future of AI technologies. Responsibilities: * Design and solve diverse coding problems used to train AI systems. * Write clear, high-quality code snippets and detailed explanations. * Evaluate AI-generated code for accuracy, performance, and clarity. * Provide feedback that directly shapes the next generation of AI models. Qualifications: * Fluency in English (native or bilingual level). * Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift. * Excellent writing and grammar skills. * A bachelor’s degree (completed or in progress). * Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for a proficient Data Scientist to help advance AI development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of the art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform. Benefits: * Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. * Flexible schedule: choose which projects you take on and when you work. * Competitive pay: projects are paid hourly, starting at $40+ USD per hour. Opportunities for higher-paying projects are available with strong performance. * Impact: help shape the future of AI technologies. Responsibilities: * Design and solve diverse coding problems used to train AI systems. * Write clear, high-quality code snippets and detailed explanations. * Evaluate AI-generated code for accuracy, performance, and clarity. * Provide feedback that directly shapes the next generation of AI models. Qualifications: * Fluency in English (native or bilingual level). * Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift. * Excellent writing and grammar skills. * A bachelor’s degree (completed or in progress). * Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for a proficient Data Scientist to help advance AI development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of the art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform. Benefits: * Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. * Flexible schedule: choose which projects you take on and when you work. * Competitive pay: projects are paid hourly, starting at $40+ USD per hour. Opportunities for higher-paying projects are available with strong performance. * Impact: help shape the future of AI technologies. Responsibilities: * Design and solve diverse coding problems used to train AI systems. * Write clear, high-quality code snippets and detailed explanations. * Evaluate AI-generated code for accuracy, performance, and clarity. * Provide feedback that directly shapes the next generation of AI models. Qualifications: * Fluency in English (native or bilingual level). * Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift. * Excellent writing and grammar skills. * A bachelor’s degree (completed or in progress). * Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for a proficient Data Scientist to help advance AI development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of the art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform. Benefits: * Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. * Flexible schedule: choose which projects you take on and when you work. * Competitive pay: projects are paid hourly, starting at $40+ USD per hour. Opportunities for higher-paying projects are available with strong performance. * Impact: help shape the future of AI technologies. Responsibilities: * Design and solve diverse coding problems used to train AI systems. * Write clear, high-quality code snippets and detailed explanations. * Evaluate AI-generated code for accuracy, performance, and clarity. * Provide feedback that directly shapes the next generation of AI models. Qualifications: * Fluency in English (native or bilingual level). * Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift. * Excellent writing and grammar skills. * A bachelor’s degree (completed or in progress). * Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.

Department: Engineering Hours: Full-time Reporting to: Head of Solutions Engineering Salary: £70,000 - £85,000 p.a. (+EMI share options) About Whitespace Whitespace leads in creating smarter, safer AI solutions for enterprises. As AI presents transformative opportunities, many companies struggle to harness its full potential. Whitespace bridges this gap with Collective - The AI Operating System for high-assurance environments. Built for scale, trust and action - even in the most secure, complex or disconnected settings. We're not just building AI systems. We're laying the foundation for a future where humans and machines work together like never before. Role Summary The successful Solutions Engineering Lead will extend and enhance our AI Operating System, which leverages LLMs to solve industry-specific challenges across defence, legal, health, infrastructure and management consulting sectors. This is a hands-on lead role focused on rapidly prototyping and deploying AI-powered solutions. Working directly with clients, you will translate their needs into scalable, production-ready AI applications using modern frameworks and techniques. Duties & Responsibilities Technical Development • Develop platform functionality using Python, building APIs and integrations to extend capabilities for diverse client needs., • Design and implement LLM-powered applications and workflows using open source models such as Llama, Qwen and Gemma, as well as those online models from OpenAI, Gemini, etc., • Build AI agents with tool/function calling, prompt engineering and appropriate guardrails using frameworks such as OpenAI AgentSDK, LangGraph or LlamaIndex., • Implement testing and evaluation frameworks for LLM applications, covering prompt testing, output quality metrics and agent behaviour validation., • Apply relevant AI technologies as needed, including retrieval systems (RAG, GraphRAG), knowledge graphs, vector databases or data pipelines. Solution Design and Implementation • Design and deliver scalable, efficient solutions tailored to client-specific requirements whilst balancing innovation with practical constraints around compliance, performance, cost and security., • Lead technical discussions, diagnose complex challenges and provide guidance to less experienced team members. Client Engagement and Collaboration • Work directly with clients to gather requirements and translate them into actionable AI-powered solutions, moving rapidly from concept to working prototype., • Communicate complex technical concepts effectively to technical and non-technical stakeholders, including system capabilities and limitations., • Mentor junior engineers and contribute to technical knowledge sharing within the team. Role Requirements Work Experience • At least five years as a software engineer on commercial platforms, with demonstrable experience building production LLM-powered applications., • Proven experience with API-level LLM usage, including tool/function calling, prompt engineering and evaluation., • Experience with agent frameworks (OpenAI AgentSDK, LangGraph, LlamaIndex Agents or similar)., • Experience developing APIs using FastAPI or similar frameworks and integrating with third-party platforms., • Direct client-facing experience gathering requirements and delivering technical implementations., • Experience within agile development workflows and engineering teams. Skills & Abilities • Strong Python (or similar) programming skills with a focus on production-grade applications., • Excellent communication abilities, translating complex technical concepts for diverse audiences., • Strong analytical and problem-solving approach, identifying scalable and reusable solutions., • Leadership qualities, including technical mentorship and team collaboration., • Ability to align solutions with business goals and industry-specific constraints., • Self-sufficient contributor capable of working independently and seeking support when needed. Nice to Have The following are examples of specialised areas that would be valuable. Deep expertise in some of these areas is preferred over surface-level knowledge across all domains. • Open source LLMs (Llama, Qwen, Gemma, GPT OSS) and local deployment strategies., • Frameworks and protocols such as Model Context Protocol (MCP) or Agent-to-Agent (A2A)., • LLM evaluation tooling (OpenAI Evals, LangSmith, custom evaluation harnesses)., • Advanced agent patterns: multi-agent systems, supervision, delegation strategies., • RAG, GraphRAG and knowledge graph design and implementation., • Vector databases and similarity search systems., • Graph databases (ArangoDB, Neo4j, Neptune) and property graph modelling., • Data engineering: ETL pipelines, document processing, schema design for AI applications., • Cloud platforms (GCP preferred, AWS/Azure also relevant) and containerisation (Docker)., • Observability and monitoring for LLM applications (tracing, metrics, cost tracking)., • Secure coding practices for regulated industries and sensitive data handling., • Frontend experience (React/Next.js) for rapid prototyping of client demos. What We Offer • Work on impactful, cutting-edge products powered by artificial intelligence and machine learning., • Be part of an agile, close-knit team that values creativity, quality and continuous learning., • Flexible working environment, with typically 2 days of hybrid working in our Belfast office each week., • 4-day working week during the holidays - July, August and December., • Early finish every working Friday - 3pm fun Fridays.

Job description. Machine Learning Engineer Location: Belfast (Hybrid) Eligibility: Must have valid right to work in the UK or Ireland (no sponsorship available) We're partnering with a fast-growing tech company that's pushing the boundaries of intelligent automation. Their platform helps global businesses test, optimise, and scale digital systems using advanced machine learning and AI. They're now looking for a Machine Learning Engineer to help take their models, data pipelines, and automation capabilities to the next level. Why join? * Be part of a company driving real innovation in AI-powered automation * Work with a talented, collaborative engineering team across data, ML, and DevOps * Shape and productionise machine learning models used by enterprise clients worldwide * Flexible hybrid or fully remote working environment What you'll be doing: * Design, build, and optimise ML models that enhance platform intelligence and automation * Develop scalable data pipelines for training, validation, and deployment * Collaborate with software engineers to integrate ML solutions into production systems * Experiment with new approaches in NLP, computer vision, or generative AI * Monitor performance and continuously refine models for accuracy and efficiency * Contribute to system design discussions and guide best practices for ML deployment What you'll bring: * Strong experience in Python and common ML frameworks (TensorFlow, PyTorch, scikit-learn) * Understanding of MLOps, model versioning, and deployment in cloud environments (AWS, GCP, or Azure) * Hands-on experience building, training, and evaluating ML models end-to-end * Solid grasp of data structures, APIs, and modern software development practices * A curious mindset and a desire to experiment, improve, and innovate Interested? If you want to work on cutting-edge machine learning projects in a company where ideas move fast, get in touch with Justin Donaldson for a confidential chat. Skills: Python SQL AWS Azure Machine Learning Data Science

Senior Machine Learning Engineer (One Braham (4140), London, United Kingdom)Recruiter: Molly LeesHiring Manager: Julian BurnsCareer Grade: DHybrid Working: 3 days in office 2 remoteLocations: London, Bristol, BirminghamInternal Closing Date: 22nd October 2025Why this job mattersAt BT, we’re transf

I am working with an exciting start-up in the UK, who are looking for a Machine Learning Engineer to join their growing team. Strong Python and deep learning skills (PyTorch/TensorFlow).

Senior Machine Learning Engineer. Machine Learning Engineer - 6-Month FTC. Collaborating in cross-functional teams with engineers, data scientists, product managers, and designers.

An ability to work full-stack with data; some data engineering experience is a big plus. Collaborate with product managers and engineers to integrate AI/ML models. Mentor junior engineers and promote best practices in AI/ML development across the team.

Machine Learning Engineer Salary: Up to £90k + Equity Location: Fully Remote in UK I am working with an exciting start-up in the UK, who are looking for a Machine Learning Engine

AI technologies: vector search, embedding models, recommender systems, supervised, unsupervised machine learning, deep learning, reinforcement learning, LLM orchestration, RAG systems, etc. Machine Learning/Data Engineer. We’re looking for a Machine Learning/Data Engineer to lead the development o

We are a Machine Learning/Data heavy team with a focus in the following areas:. As a Senior ML Engineer , you’ll be in charge of the full cycle execution of content understanding projects - from collaborating with cross-functional teams on requirements and design to the implementation to the exper

Machine Learning Engineer (Client dedicated Fully remote). As a Machine Learning Engineer you will be joining the world’s largest & most comprehensive clinical research organisation, powered by healthcare intelligence. Lead projects, mentor junior engineers, and foster innovation across teams.

Collaborate closely with Product, Design, Analytics, and other engineering teams to translate AI capabilities into tangible, high-quality product features. Improve the speed, quality, and efficiency of our AI systems and engineering processes. Engineering is by far our largest department, and we’v

As they expand their engineering team, they’re looking for a Machine Learning Engineer who’s passionate about building high-performing, scalable AI systems — not just models, but end-to-end products that people love using. Machine Learning Engineer - Remote (EU ±4h) - Up to £75,000. Collabor

Get notified about new Machine Learning Engineer jobs in. AI Machine Learning Engineer: AI Shopping Agents (Remote). Software Engineer- Machine Learning - UK.

We have an exciting opportunity for a Machine Learning Engineer to join our growing technical team at Joybuy (. Influence and coach a distributed team of engineers. Bachelor's degree in Engineering, Computer Science, Mathematics, or a related technical field.

Senior Machine Learning Engineer. As a Senior Machine Learning Engineer, you'll be at the forefront of developing sophisticated time series forecasting solutions that drive business value and market insights. Data Machine Learning & AI Specialist | Women In Data | Women In Tech.

This is a Principal Machine Learning Engineer role based in London with a hybrid working pattern. Principal Machine Learning Engineer – London | Hybrid. You will thrive in a fast-moving environment and apply rigorous statistical and engineering thinking to solve real-world problems.

Ultimately, we’re looking for a brilliant Senior Machine Learning Engineer to join us on our mission to fight for the world's financial health. You’ll be leading technical work within a team of adaptable, creative and product-focused engineers, who train & integrate cutting edge machine learning

Regardless of whether you are a fresh graduate engineer or have a few years of experience already, either way, the ideal candidate will have good skills in Computer Vision, Deep Learning, and Machine Learning workflows, with a curiosity for the most recent approaches to 2D/3D computer vision tasks.

You will work within a dynamic, interdisciplinary team of software engineers, data scientists, and machine learning engineers to productionize cutting-edge research and directly influence the technical direction of our platform. A skilled software engineer with a passion for machine learning. Were

This role exists to support the business in utilizing Machine Learning applications to drive additional value for our customers by feeding into the delivery of strategic data science solutions whilst setting up resilient and future-proof ML infrastructure and engineering foundations. Working with th

We are looking for a Machine Learning Engineer to join our Bristol-based client, to deliver end-to-end solutions on exciting new projects which have come about due to growth. You’ll be designing, building and deploying machine learning models which solve complex business challenges, working closel

I am working with an exciting start-up in the UK, who are looking for a Machine Learning Engineer to join their growing team. Strong Python and deep learning skills (PyTorch/TensorFlow).

We are looking for a highly capable machine learning engineer to optimize our machine learning systems. Machine Learning Engineer Responsibilities:. To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role.

Machine Learning Engineer - Inventory Demand Forecasting (Retail / CPG). Machine Learning Engineer - Inventory Demand Forecasting (Retail / CPG).

Machine Learning Engineers at Cleo work on building novel solutions to real-world problems. Ultimately, we’re looking for a brilliant Machine Learning Engineer to join us on our mission to fight for the world's financial health. You’ll be leading technical work within a team of adaptable, creati

Senior Machine Learning Engineer. We are looking for a Senior Machine Learning Engineer to join our Data Team. Collaborate with product managers and engineers to define KPIs, design data flows, and embed algorithms in product features.

Role: Senior Machine Learning Engineer (Credit Risk). Improve and iterate on existing machine learning models. Experience deploying machine learning algorithms into production and conducting A/B tests with impact measurement.

They will also be responsible for creating predictive models and machine learning algorithms that can help optimise various business processes.

World Salon is looking for a Machine Learning Engineer to build recommendation systems and automation models. The candidate will contribute to data collection strategies, optimize existing datasets, and implement machine learning models using Python and vector databases. Proficiency in Python and ex

You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. Working with Data Scientists to deploy trained machine learning models into production environments. Building software and infrastructure that leverages Machine Learning.

Skilled in prompt engineering and dataset curation for alignment with tone, safety, and trust. Strong software engineering foundations in algorithms, data structures, and clean code practices. Experience with RLHF or reinforcement learning in LLMs.

Senior Machine Learning Engineer – Remote, UK. As a Senior ML Engineer, you will be the technical leader driving machine learning infrastructure from experimentation to production, ensuring AI‑powered solutions deliver measurable impact for customers worldwide. Strong background in classical and

Senior Machine Learning Engineer, Ads Training Platform. The Ads Training Platform pod builds and maintains the distributed training and data processing infrastructure that powers Reddit’s Ads machine learning models. We are looking for an engineer with deep experience in infrastructure, distribut

Get notified about new Machine Learning Engineer jobs in. Software Engineer- Machine Learning - UK. Proven experience as a Machine Learning Engineer with at least 3 years of professional experience.

AI technologies: vector search, embedding models, recommender systems, supervised, unsupervised machine learning, deep learning, reinforcement learning, LLM orchestration, RAG systems, etc. ML engineering experience in a professional setting with a proven track record of owning the end-to-end machin

The Senior Machine Learning Engineer will also be responsible for providing technical guidance and mentorship to junior members of the engineering team. Senior Machine Learning Engineer. Solid knowledge on machine learning theory from both classic approaches to state of art.

We are currently looking for a Machine Learning Platform Engineer in Europe. Deploy, manage, and optimize machine learning models and data pipelines on Kubernetes (EKS) and cloud infrastructure. Opportunity to work on cutting-edge AI and machine learning infrastructure.

Job: Sr Machine Learning-Hungary. Research and evaluate new approaches in computer vision and multimodal learning. MS or PhD in Computer Science, Engineering, Mathematics, or related field.

This position is responsible for developing, enhancing, and maintaining our Machine Learning pipelines and data science solutions including data pipelines, infrastructure, and deployment of machine learning models. Deploy, scale, and maintain machine learning models in production environments. Demon

We’re hiring a creative & driven Machine Learning Engineer to help us redefine digital experiences at the intersection of fashion, generative AI, and computer graphics. Develop and maintain robust, scalable machine learning pipelines for data processing, training, and inference. Proven experience