126 to 150 of 154 Permanent Machine Learning Engineer Jobs

that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today. Constructor is seeking an experienced AI Engineer to design and build our Agent Products . In this role, you will focus on developing and rigorously evaluating sophisticated RAG pipelines and agentic workflows that power new ways … Take ownership of systems and designs from conception through to deployment and maintenance Qualifications 4+ years of industry experience in related fields, including search, information retrieval, recommendation systems, applied machine learning, and NLP Excellent skills in delivering and communicating business value Proficient in Python, SQL, and the big data stack for end-to-end ML product development, with More ❯

You have 6+ years of experience in software engineering with at least 3+ years of experience in ML/AI engineering or NLP-related software development. You are an engineer at heart, you enjoy building working systems more than writing research papers. You have strong Python skills and experience in building and maintaining production systems. You have hands-on … to make high-quality education creation accessible to everyone. Company Synthesia Language requirements Specific requirements Educational level Level of experience (years) Senior (5+ years of experience) Tagged as: Industry, Machine Learning, NLP, United Kingdom More ❯

Lead ML Engineer 📍 London (3 days a week) | 💰 £100k–£135k + EMI shares | ❌ No sponsorship I’m partnered with a scaling AI consultancy and product company that works with global enterprises to design and deliver cutting-edge Generative AI solutions. They have partnerships with renowned tech firms - adding commmercial value. They’re looking for Lead/Senior ML/ More ❯

Lead ML Engineer 📍 London (3 days a week) | 💰 £100k–£135k + EMI shares | ❌ No sponsorship I’m partnered with a scaling AI consultancy and product company that works with global enterprises to design and deliver cutting-edge Generative AI solutions. They have partnerships with renowned tech firms - adding commmercial value. They’re looking for Lead/Senior ML/ More ❯

Lead ML Engineer 📍 London (3 days a week) | 💰 £100k–£135k + EMI shares | ❌ No sponsorship I’m partnered with a scaling AI consultancy and product company that works with global enterprises to design and deliver cutting-edge Generative AI solutions. They have partnerships with renowned tech firms - adding commmercial value. They’re looking for Lead/Senior ML/ More ❯

Lead ML Engineer 📍 London (3 days a week) | 💰 £100k–£135k + EMI shares | ❌ No sponsorship I’m partnered with a scaling AI consultancy and product company that works with global enterprises to design and deliver cutting-edge Generative AI solutions. They have partnerships with renowned tech firms - adding commmercial value. They’re looking for Lead/Senior ML/ More ❯

Lead ML Engineer 📍 London (3 days a week) | 💰 £100k–£135k + EMI shares | ❌ No sponsorship I’m partnered with a scaling AI consultancy and product company that works with global enterprises to design and deliver cutting-edge Generative AI solutions. They have partnerships with renowned tech firms - adding commmercial value. They’re looking for Lead/Senior ML/ More ❯

profound understanding of retail, designed to hyper-personalise every shopper touchpoint. To realise our vision, smaller downstream models must run on the edge on-device. As an Edge AI Engineer, you will bridge research and production, ensuring our models are optimised for on-device inference. If you want to operate at the frontier of deep learning and real … edge-aware and device-compatible from the start. Test and validate performance in live, resource-constrained environments. What We Look For 2 to 4 years of experience deploying deep learning models to mobile or edge devices, ideally Android. Strong proficiency in Python and Java or Kotlin, with experience translating ML code between languages. Practical experience with mobile inference frameworks More ❯

profound understanding of retail, designed to hyper-personalise every shopper touchpoint. To realise our vision, smaller downstream models must run on the edge on-device. As an Edge AI Engineer, you will bridge research and production, ensuring our models are optimised for on-device inference. If you want to operate at the frontier of deep learning and real … edge-aware and device-compatible from the start. Test and validate performance in live, resource-constrained environments. What We Look For 2 to 4 years of experience deploying deep learning models to mobile or edge devices, ideally Android. Strong proficiency in Python and Java or Kotlin, with experience translating ML code between languages. Practical experience with mobile inference frameworks More ❯

profound understanding of retail, designed to hyper-personalise every shopper touchpoint. To realise our vision, smaller downstream models must run on the edge on-device. As an Edge AI Engineer, you will bridge research and production, ensuring our models are optimised for on-device inference. If you want to operate at the frontier of deep learning and real … edge-aware and device-compatible from the start. Test and validate performance in live, resource-constrained environments. What We Look For 2 to 4 years of experience deploying deep learning models to mobile or edge devices, ideally Android. Strong proficiency in Python and Java or Kotlin, with experience translating ML code between languages. Practical experience with mobile inference frameworks More ❯

profound understanding of retail, designed to hyper-personalise every shopper touchpoint. To realise our vision, smaller downstream models must run on the edge on-device. As an Edge AI Engineer, you will bridge research and production, ensuring our models are optimised for on-device inference. If you want to operate at the frontier of deep learning and real … edge-aware and device-compatible from the start. Test and validate performance in live, resource-constrained environments. What We Look For 2 to 4 years of experience deploying deep learning models to mobile or edge devices, ideally Android. Strong proficiency in Python and Java or Kotlin, with experience translating ML code between languages. Practical experience with mobile inference frameworks More ❯

profound understanding of retail, designed to hyper-personalise every shopper touchpoint. To realise our vision, smaller downstream models must run on the edge on-device. As an Edge AI Engineer, you will bridge research and production, ensuring our models are optimised for on-device inference. If you want to operate at the frontier of deep learning and real … edge-aware and device-compatible from the start. Test and validate performance in live, resource-constrained environments. What We Look For 2 to 4 years of experience deploying deep learning models to mobile or edge devices, ideally Android. Strong proficiency in Python and Java or Kotlin, with experience translating ML code between languages. Practical experience with mobile inference frameworks More ❯

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 … relevance. Strong software engineering foundations in algorithms, data structures, and clean code practices. Nice to Have Prior work in text generation, moderation, or personalization. Experience with RLHF or reinforcement learning in LLMs. Contributions to open-source ML projects. What You'll Get Flat structure & real ownership Full involvement in direction and consensus decision making Flexibility in work arrangement High More ❯

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 … relevance. Strong software engineering foundations in algorithms, data structures, and clean code practices. Nice to Have Prior work in text generation, moderation, or personalization. Experience with RLHF or reinforcement learning in LLMs. Contributions to open-source ML projects. What You'll Get Flat structure & real ownership Full involvement in direction and consensus decision making Flexibility in work arrangement High More ❯

Ovaska (co-founder of Smartly.io ). Role Having built up a strong team in Helsinki, we are expanding the team in London. We are looking for an AI analytics engineer/data focused developer. You’ll join our London office to drive development of Savantiq’s analytics capabilities: from statistical modelling and custom ML models, to retrieval systems and … London. Skills Core Solid foundation in statistical modelling and data-driven problem solving, with hands-on experience with a range of ML/AI techniques, e.g. supervised/unsupervised learning, natural language processing and LLMs. Ability to select the best analytics tools and frameworks to address a variety of problems. Strong software development experience in Python, with understanding of … of models. Basic knowledge of React, and/or ability and willingness to learn to work full-stack as needed. Experience of M&A/Finance use cases for machine learning. What We Offer Competitive compensation package (with potential equity component) A pivotal role in shaping the company's analytics products and the culture of our new London office. More ❯

Ovaska (co-founder of Smartly.io). Role Having built up a strong team in Helsinki, we are expanding the team in London. We are looking for an AI analytics engineer/data focused developer. You’ll join our London office to drive development of Savantiq’s analytics capabilities: from statistical modelling and custom ML models, to retrieval systems and … London. Skills Core Solid foundation in statistical modelling and data-driven problem solving, with hands-on experience with a range of ML/AI techniques, e.g. supervised/unsupervised learning, natural language processing and LLMs. Ability to select the best analytics tools and frameworks to address a variety of problems. Strong software development experience in Python, with understanding of … of models. Basic knowledge of React, and/or ability and willingness to learn to work full-stack as needed. Experience of M&A/Finance use cases for machine learning. What We Offer Competitive compensation package (with potential equity component) A pivotal role in shaping the company's analytics products and the culture of our new London office. More ❯

Ovaska (co-founder of Smartly.io). Role Having built up a strong team in Helsinki, we are expanding the team in London. We are looking for an AI analytics engineer/data focused developer. You’ll join our London office to drive development of Savantiq’s analytics capabilities: from statistical modelling and custom ML models, to retrieval systems and … London. Skills Core Solid foundation in statistical modelling and data-driven problem solving, with hands-on experience with a range of ML/AI techniques, e.g. supervised/unsupervised learning, natural language processing and LLMs. Ability to select the best analytics tools and frameworks to address a variety of problems. Strong software development experience in Python, with understanding of … of models. Basic knowledge of React, and/or ability and willingness to learn to work full-stack as needed. Experience of M&A/Finance use cases for machine learning. What We Offer Competitive compensation package (with potential equity component) A pivotal role in shaping the company's analytics products and the culture of our new London office. More ❯

Change Software Forever QA slows the world down. Flaky tests kill trust, stall releases, and bleed engineering velocity. Duku AI is ending that era. We’re building autonomous agents that think like engineers : they run every critical user journey, catch More ❯

Change Software Forever QA slows the world down. Flaky tests kill trust, stall releases, and bleed engineering velocity. Duku AI is ending that era. We’re building autonomous agents that think like engineers: they run every critical user journey, catch More ❯

Change Software Forever QA slows the world down. Flaky tests kill trust, stall releases, and bleed engineering velocity. Duku AI is ending that era. We’re building autonomous agents that think like engineers: they run every critical user journey, catch More ❯

Transform Visual 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 More ❯

ML & Cloud Infrastructure Engineer Up to £180,000 London (Hybrid, 3/4/5 days onsite per week) Company: Early stage start up building the world’s first 3D Foundation Model, enabling generative capabilities in fully dynamic 3D environments, with motion, physics, and spatial reasoning built-in. Their mission is to redefine how industries, from robotics and AR More ❯

ML & Cloud Infrastructure Engineer Up to £180,000 London (Hybrid, 3/4/5 days onsite per week) Company: Early stage start up building the world’s first 3D Foundation Model, enabling generative capabilities in fully dynamic 3D environments, with motion, physics, and spatial reasoning built-in. Their mission is to redefine how industries, from robotics and AR More ❯

ML & Cloud Infrastructure Engineer Up to £180,000 London (Hybrid, 3/4/5 days onsite per week) Company: Early stage start up building the world’s first 3D Foundation Model, enabling generative capabilities in fully dynamic 3D environments, with motion, physics, and spatial reasoning built-in. Their mission is to redefine how industries, from robotics and AR More ❯

ML & Cloud Infrastructure Engineer Up to £180,000 London (Hybrid, 3/4/5 days onsite per week) Company: Early stage start up building the world’s first 3D Foundation Model, enabling generative capabilities in fully dynamic 3D environments, with motion, physics, and spatial reasoning built-in. Their mission is to redefine how industries, from robotics and AR More ❯