Senior AI/ML Engineer - Multimodal Content Intelligence / MLLMs / Computer Vision / NLP We are currently partnered with a leading global technology organisation developing next-generation AI-driven content intelligence and recommendation systems. As part of their growing AI research and engineering team, they are looking to hire a Senior AI/ML Engineer to develop advanced multimodal understanding solutions across video, audio, image, and text using state-of-the-art Multimodal Large Language Models (MLLMs). Key responsibilities Develop and optimise multimodal AI frameworks focused on semantic understanding, narrative reasoning, and high-level content interpretation Build and deploy advanced AI models combining video, audio, image, and text signals Work with Multimodal Large Language Models (MLLMs), Vision Language Models (VLMs), and foundation models Develop scalable, low-latency AI systems suitable for high-concurrency production environments Collaborate with recommendation, search, and platform teams to integrate content intelligence signals into production pipelines Key requirements Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field 5+ years of commercial experience in AI/ML research or advanced machine learning engineering Strong experience in at least two of the following areas: Multimodal Learning Computer Vision Natural Language Processing Recommendation Systems Representation Learning Hands on experience with PyTorch, TensorFlow, or JAX Experience working with Large Language Models, Vision Language Models, or Multimodal LLMs Experience deploying machine learning models into large-scale production environments By applying to this role you understand that we may collect your personal data and store and process it in line with our privacy policy. Company: European Tech Recruit
20/06/2026
Full time
Senior AI/ML Engineer - Multimodal Content Intelligence / MLLMs / Computer Vision / NLP We are currently partnered with a leading global technology organisation developing next-generation AI-driven content intelligence and recommendation systems. As part of their growing AI research and engineering team, they are looking to hire a Senior AI/ML Engineer to develop advanced multimodal understanding solutions across video, audio, image, and text using state-of-the-art Multimodal Large Language Models (MLLMs). Key responsibilities Develop and optimise multimodal AI frameworks focused on semantic understanding, narrative reasoning, and high-level content interpretation Build and deploy advanced AI models combining video, audio, image, and text signals Work with Multimodal Large Language Models (MLLMs), Vision Language Models (VLMs), and foundation models Develop scalable, low-latency AI systems suitable for high-concurrency production environments Collaborate with recommendation, search, and platform teams to integrate content intelligence signals into production pipelines Key requirements Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field 5+ years of commercial experience in AI/ML research or advanced machine learning engineering Strong experience in at least two of the following areas: Multimodal Learning Computer Vision Natural Language Processing Recommendation Systems Representation Learning Hands on experience with PyTorch, TensorFlow, or JAX Experience working with Large Language Models, Vision Language Models, or Multimodal LLMs Experience deploying machine learning models into large-scale production environments By applying to this role you understand that we may collect your personal data and store and process it in line with our privacy policy. Company: European Tech Recruit
NLP PEOPLE in the City of Edinburgh seeks an experienced Senior AI/ML Engineer to develop advanced multimodal understanding solutions across various content types. The ideal candidate will have a strong AI/ML background, with a Master's or PhD in a relevant field and 5+ years of commercial experience. You will work closely with teams to build and deploy models that integrate video, audio, image, and text signals using cutting-edge technology. This role offers an opportunity to lead innovative AI solutions in a collaborative environment.
20/06/2026
Full time
NLP PEOPLE in the City of Edinburgh seeks an experienced Senior AI/ML Engineer to develop advanced multimodal understanding solutions across various content types. The ideal candidate will have a strong AI/ML background, with a Master's or PhD in a relevant field and 5+ years of commercial experience. You will work closely with teams to build and deploy models that integrate video, audio, image, and text signals using cutting-edge technology. This role offers an opportunity to lead innovative AI solutions in a collaborative environment.
Machine Learning Engineer, NLP InsurTech, AI, Scale-up London 5 Days in Office, Up to £165,000 Stocks & Benefits. Owen Thomas is partnering with a high growth, venture backed InsurTech scale up that is disrupting a massive $200 B global market. Using AI they deliver automation that is up to 3 faster than legacy industry standards allowing insurance companies to act quicker and save millions. The company has found a niche within a niche and is already proving to be valuable to some of the world's leading insurance firms. Because of this they have been backed by some of Europe's and Silicon Valley's most prestigious venture capital firms. As they scale towards their next major milestone, they are seeking a Machine Learning Engineer to help build the AI platform powering the future of automated operations. This is a full time, office based role in Central London, joining a high intensity, mission driven team that thrives on high performance and rapid execution. Responsibilities Build intelligent systems that improve operational accuracy, accelerate assessments, and enhance user experience. Collaborate closely with domain specialists to translate complex, manual processes into AI driven workflows. Deploy, monitor, and scale machine learning solutions in a production environment. Help shape the technical culture and engineering team from the ground up. Work side by side with the founding team, learning exactly how to scale a business from 0 to 1. Requirements 2+ years of commercial experience in AI/ML engineering or applied research. Strong experience working on NLP projects. A proven track record of shipping AI/ML projects from initial concept to live production, driving core business metrics. A passion for high velocity deployment-you love shipping code quickly. Strong communication skills and the ability to collaborate effectively with non technical stakeholders. Comfort operating in ambiguous, rapid growth, and high velocity environments. Senior (5+ years of experience). Benefits Base salary up to £165,000. Generous, transparent equity participation. Comprehensive health insurance and pension contributions. 28 days annual leave (plus bank holidays). 30 days of remote working flexibility per year. Full Skilled Worker visa sponsorship available for the UK. Company Owen Thomas B Corp
20/06/2026
Full time
Machine Learning Engineer, NLP InsurTech, AI, Scale-up London 5 Days in Office, Up to £165,000 Stocks & Benefits. Owen Thomas is partnering with a high growth, venture backed InsurTech scale up that is disrupting a massive $200 B global market. Using AI they deliver automation that is up to 3 faster than legacy industry standards allowing insurance companies to act quicker and save millions. The company has found a niche within a niche and is already proving to be valuable to some of the world's leading insurance firms. Because of this they have been backed by some of Europe's and Silicon Valley's most prestigious venture capital firms. As they scale towards their next major milestone, they are seeking a Machine Learning Engineer to help build the AI platform powering the future of automated operations. This is a full time, office based role in Central London, joining a high intensity, mission driven team that thrives on high performance and rapid execution. Responsibilities Build intelligent systems that improve operational accuracy, accelerate assessments, and enhance user experience. Collaborate closely with domain specialists to translate complex, manual processes into AI driven workflows. Deploy, monitor, and scale machine learning solutions in a production environment. Help shape the technical culture and engineering team from the ground up. Work side by side with the founding team, learning exactly how to scale a business from 0 to 1. Requirements 2+ years of commercial experience in AI/ML engineering or applied research. Strong experience working on NLP projects. A proven track record of shipping AI/ML projects from initial concept to live production, driving core business metrics. A passion for high velocity deployment-you love shipping code quickly. Strong communication skills and the ability to collaborate effectively with non technical stakeholders. Comfort operating in ambiguous, rapid growth, and high velocity environments. Senior (5+ years of experience). Benefits Base salary up to £165,000. Generous, transparent equity participation. Comprehensive health insurance and pension contributions. 28 days annual leave (plus bank holidays). 30 days of remote working flexibility per year. Full Skilled Worker visa sponsorship available for the UK. Company Owen Thomas B Corp
NLP PEOPLE is looking for a Machine Learning Engineer to join their team in Central London. This full-time role offers a competitive salary of up to £165,000, with stock options and benefits. The company is in a high-growth InsurTech sector and leverages AI to transform the insurance industry. The successful candidate will work on deploying machine learning solutions, improve operational workflows, and shape the technical culture of a game-changing team.
20/06/2026
Full time
NLP PEOPLE is looking for a Machine Learning Engineer to join their team in Central London. This full-time role offers a competitive salary of up to £165,000, with stock options and benefits. The company is in a high-growth InsurTech sector and leverages AI to transform the insurance industry. The successful candidate will work on deploying machine learning solutions, improve operational workflows, and shape the technical culture of a game-changing team.
Senior Machine Learning Software Engineer (software integration) Location: Surrey, UK (Office-based) The package: A highly competitive salary + Bonus + Excellent Benefits Package Our client, a global leader in engineering simulation and modelling software is significantly expanding its Applied AI capabilities. We are integrating machine learning and AI directly into our core high-performance engineering platforms used by engineers and scientists worldwide. This is a hands on, senior level role focused on designing, building, and deploying production grade ML solutions within complex, performance critical commercial software products - not research prototypes or isolated experiments. The Role As a Senior Machine Learning Software Engineer, you will play a key role in embedding intelligent capabilities into our flagship engineering tools. You will work at the intersection of advanced machine learning, high performance software engineering, and domain specific scientific computing. You will take ownership of ML initiatives from concept through to production deployment, ensuring models deliver measurable performance improvements while meeting strict engineering standards for reliability, efficiency, and scalability. Key Responsibilities Design, implement, and deploy robust ML models into production engineering software systems Own the end to end ML lifecycle: data strategy, feature engineering, model development, optimisation, validation, and monitoring Translate complex scientific and engineering challenges into high impact ML solutions Optimise models for speed, memory efficiency, and scalability in compute intensive environments Write clean, efficient, testable, and maintainable production quality code (primarily in C++ and Python) Integrate ML capabilities seamlessly into existing large scale software architectures via APIs, libraries, and microservices Collaborate closely with software engineers, numerical analysts, and domain experts to deliver commercially valuable features Continuously improve model performance and robustness when working with real world, noisy, or high dimensional engineering data Essential Experience Strong commercial software engineering background with excellent C++ and Python skills Proven track record of successfully applying machine learning to real world, complex problems in a production environment Significant experience developing and deploying ML models within large scale software systems Deep understanding of model trade offs (accuracy vs. speed vs. memory) Experience working with challenging, real world datasets - including noisy, sparse, or domain specific engineering data Strong ability to write high quality, scalable, and production ready code Desirable Experience Hands on expertise with modern ML frameworks (PyTorch, TensorFlow, or JAX) Background in scientific computing, numerical methods, finite element analysis, or optimisation techniques Experience with GPU acceleration (CUDA), parallel computing, or high performance computing (HPC) Practical knowledge of MLOps, model serving, CI/CD for ML, and production deployment pipelines Experience integrating ML components into existing commercial C++ codebases Familiarity with engineering simulation, physics-based modelling, or CAE tools The great aspects of this role Work on genuinely challenging technical problems where ML directly enhances industry leading engineering software High degree of ownership and visible impact on products used globally Collaborate with talented, experienced engineers and subject matter experts Opportunity to shape how Applied AI is embedded into core commercial platforms for years to come Technically deep, long horizon work - far from short term experimental ML projects Excellent compensation, benefits, and career development opportunities This is an outstanding opportunity for a seasoned ML Software Engineer who enjoys solving hard engineering problems and delivering production AI capabilities that matter. Qualifications Senior (5+ years of experience) Company International Software Co
17/06/2026
Full time
Senior Machine Learning Software Engineer (software integration) Location: Surrey, UK (Office-based) The package: A highly competitive salary + Bonus + Excellent Benefits Package Our client, a global leader in engineering simulation and modelling software is significantly expanding its Applied AI capabilities. We are integrating machine learning and AI directly into our core high-performance engineering platforms used by engineers and scientists worldwide. This is a hands on, senior level role focused on designing, building, and deploying production grade ML solutions within complex, performance critical commercial software products - not research prototypes or isolated experiments. The Role As a Senior Machine Learning Software Engineer, you will play a key role in embedding intelligent capabilities into our flagship engineering tools. You will work at the intersection of advanced machine learning, high performance software engineering, and domain specific scientific computing. You will take ownership of ML initiatives from concept through to production deployment, ensuring models deliver measurable performance improvements while meeting strict engineering standards for reliability, efficiency, and scalability. Key Responsibilities Design, implement, and deploy robust ML models into production engineering software systems Own the end to end ML lifecycle: data strategy, feature engineering, model development, optimisation, validation, and monitoring Translate complex scientific and engineering challenges into high impact ML solutions Optimise models for speed, memory efficiency, and scalability in compute intensive environments Write clean, efficient, testable, and maintainable production quality code (primarily in C++ and Python) Integrate ML capabilities seamlessly into existing large scale software architectures via APIs, libraries, and microservices Collaborate closely with software engineers, numerical analysts, and domain experts to deliver commercially valuable features Continuously improve model performance and robustness when working with real world, noisy, or high dimensional engineering data Essential Experience Strong commercial software engineering background with excellent C++ and Python skills Proven track record of successfully applying machine learning to real world, complex problems in a production environment Significant experience developing and deploying ML models within large scale software systems Deep understanding of model trade offs (accuracy vs. speed vs. memory) Experience working with challenging, real world datasets - including noisy, sparse, or domain specific engineering data Strong ability to write high quality, scalable, and production ready code Desirable Experience Hands on expertise with modern ML frameworks (PyTorch, TensorFlow, or JAX) Background in scientific computing, numerical methods, finite element analysis, or optimisation techniques Experience with GPU acceleration (CUDA), parallel computing, or high performance computing (HPC) Practical knowledge of MLOps, model serving, CI/CD for ML, and production deployment pipelines Experience integrating ML components into existing commercial C++ codebases Familiarity with engineering simulation, physics-based modelling, or CAE tools The great aspects of this role Work on genuinely challenging technical problems where ML directly enhances industry leading engineering software High degree of ownership and visible impact on products used globally Collaborate with talented, experienced engineers and subject matter experts Opportunity to shape how Applied AI is embedded into core commercial platforms for years to come Technically deep, long horizon work - far from short term experimental ML projects Excellent compensation, benefits, and career development opportunities This is an outstanding opportunity for a seasoned ML Software Engineer who enjoys solving hard engineering problems and delivering production AI capabilities that matter. Qualifications Senior (5+ years of experience) Company International Software Co
NLP PEOPLE is seeking a Senior Machine Learning Software Engineer based in Guildford, England. You will embed intelligent capabilities into our engineering tools, owning ML initiatives from concept to production deployment. Ideal candidates have a strong background in C++ and Python, with significant experience in applying ML to complex problems. You'll work on high-performance software products that directly enhance engineering simulation capabilities. Competitive salary and excellent benefits are offered for this demanding yet rewarding role.
17/06/2026
Full time
NLP PEOPLE is seeking a Senior Machine Learning Software Engineer based in Guildford, England. You will embed intelligent capabilities into our engineering tools, owning ML initiatives from concept to production deployment. Ideal candidates have a strong background in C++ and Python, with significant experience in applying ML to complex problems. You'll work on high-performance software products that directly enhance engineering simulation capabilities. Competitive salary and excellent benefits are offered for this demanding yet rewarding role.
AI Scientist / Machine Learning Engineer We are looking for an AI scientist or machine learning engineer to design and implement the algorithms that power Biostream's physiological monitoring and alert systems. You will work closely with the biostatistics team to translate probabilistic and Bayesian models into deployable algorithms that operate on real world sensor data. The role focuses on building robust machine learning systems capable of detecting physiological deterioration from multi sensor inputs in complex and noisy environments. You will collaborate with engineers, statisticians, and medical advisors to develop models that can operate on device or in distributed systems with constrained connectivity. Responsibilities Design and develop machine learning algorithms for physiological signal analysis and risk detection. Work closely with the biostatistician to implement Bayesian models and probabilistic frameworks. Develop models combining vital signs, motion data, and contextual signals. Build pipelines for sensor data processing, feature extraction, and model training. Implement algorithms suitable for real time and edge deployment. Evaluate model performance and robustness across heterogeneous datasets. Develop simulation and testing environments for algorithm validation. Contribute to the integration of models into the broader software platform. Profile MSc or PhD in machine learning, artificial intelligence, computer science, applied mathematics, or a related field. Strong experience developing machine learning models for time series or sensor data. Strong programming skills in Python. Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX. Experience building data pipelines and training workflows. Ability to work with imperfect, noisy, or incomplete datasets. Nice to Have Experience with physiological signal processing (ECG, PPG, respiration, etc.). Experience working with wearables or biosensor data. Familiarity with Bayesian modelling or probabilistic machine learning. Experience deploying models on edge devices or constrained hardware. Experience with healthtech, medical AI, or clinical datasets. What You Will Work On Physiological signal processing. Integration of probabilistic models with machine learning systems. Real time monitoring and alert systems. Deployment of models in constrained operational environments. Company Biostream Experience Senior (5+ years of experience)
13/06/2026
Full time
AI Scientist / Machine Learning Engineer We are looking for an AI scientist or machine learning engineer to design and implement the algorithms that power Biostream's physiological monitoring and alert systems. You will work closely with the biostatistics team to translate probabilistic and Bayesian models into deployable algorithms that operate on real world sensor data. The role focuses on building robust machine learning systems capable of detecting physiological deterioration from multi sensor inputs in complex and noisy environments. You will collaborate with engineers, statisticians, and medical advisors to develop models that can operate on device or in distributed systems with constrained connectivity. Responsibilities Design and develop machine learning algorithms for physiological signal analysis and risk detection. Work closely with the biostatistician to implement Bayesian models and probabilistic frameworks. Develop models combining vital signs, motion data, and contextual signals. Build pipelines for sensor data processing, feature extraction, and model training. Implement algorithms suitable for real time and edge deployment. Evaluate model performance and robustness across heterogeneous datasets. Develop simulation and testing environments for algorithm validation. Contribute to the integration of models into the broader software platform. Profile MSc or PhD in machine learning, artificial intelligence, computer science, applied mathematics, or a related field. Strong experience developing machine learning models for time series or sensor data. Strong programming skills in Python. Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX. Experience building data pipelines and training workflows. Ability to work with imperfect, noisy, or incomplete datasets. Nice to Have Experience with physiological signal processing (ECG, PPG, respiration, etc.). Experience working with wearables or biosensor data. Familiarity with Bayesian modelling or probabilistic machine learning. Experience deploying models on edge devices or constrained hardware. Experience with healthtech, medical AI, or clinical datasets. What You Will Work On Physiological signal processing. Integration of probabilistic models with machine learning systems. Real time monitoring and alert systems. Deployment of models in constrained operational environments. Company Biostream Experience Senior (5+ years of experience)
NLP PEOPLE is seeking an experienced Engineer Principal, Artificial Intelligence / Machine Learning to shape the future of AI within the fintech sector. In this role, you will lead a team and develop advanced machine learning solutions. A Bachelor's degree in Computer Science and 8+ years of AI/ML experience are required. The position offers a diverse atmosphere, professional development, and opportunities to drive innovation in the financial industry.
09/06/2026
Full time
NLP PEOPLE is seeking an experienced Engineer Principal, Artificial Intelligence / Machine Learning to shape the future of AI within the fintech sector. In this role, you will lead a team and develop advanced machine learning solutions. A Bachelor's degree in Computer Science and 8+ years of AI/ML experience are required. The position offers a diverse atmosphere, professional development, and opportunities to drive innovation in the financial industry.
Semantic Architect Location: London, Hybrid Mission We are a growing health technology company building AI systems that improve how information flows within healthcare organisations. Our platform combines natural language processing, knowledge graphs, and generative AI to help healthcare providers and payers reduce administrative workload, improve decision making, and deliver better outcomes. Role Overview This is a senior, hands on technical leadership role focused on building production grade AI systems that combine LLMs, NLP pipelines, and structured knowledge. What You Will Do Your goal is to design and own the architecture that connects NLP pipelines processing clinical text, knowledge graphs and ontologies, LLM reasoning and orchestration layers, and evaluation and benchmarking systems. You'll also help scale the applied AI function by setting technical standards and coordinating complex AI development across engineering teams. Key Responsibilities Design end to end AI architectures integrating NLP, LLM orchestration, and knowledge graphs. Define how structured semantics guide and validate generative outputs. Set technical design standards for applied AI systems. Ensure AI features are robust, production ready, and aligned with product goals. Break product requirements into clear technical implementation plans. Coordinate work across NLP, graph engineering, and product teams. Maintain architectural coherence as systems scale. Design evaluation frameworks for hallucination detection, clinical concept extraction accuracy, model regression testing. Implement structured outputs and schema constrained generation. Introduce human in the loop review and continuous evaluation. Build AI workflows with traceability and auditability by default. Ensure systems align with healthcare regulatory requirements across UK and US contexts. Requirements MSc in Computer Science, AI, or related field (or equivalent experience). 3+ years building production AI systems involving structured knowledge. Strong experience integrating LLMs with knowledge graphs or structured data. Experience building NLP pipelines and semantic reasoning systems. Python for NLP pipelines, orchestration, and evaluation tooling. Experience with LLM engineering and prompt design using structured outputs. Familiarity with schema constrained generation (JSON / ontology driven outputs). Experience designing evaluation frameworks for production LLM systems. Experience designing AI systems grounded or validated by graph structures. Ability to collaborate with knowledge engineers on ontology design. Understanding of graph performance and scaling considerations. Experience in regulated environments (healthcare, fintech, gov, etc.) - Nice to have. Experience integrating AI systems into production services - Nice to have. Interest in building reliable AI systems in high impact domains - Nice to have. What We're Looking For Systems thinker who values clarity and architectural coherence. Pragmatic engineer focused on production impact. Comfortable taking ownership of complex technical systems. Strong communicator who shares and documents architectural knowledge. Hiring Process Introductory screening interview (30 minutes) Technical deep dive interview with AI and engineering leadership Final interview and offer. Benefits Competitive salary. Company pension. 25 days annual leave. Flexible hybrid working. Employee Assistance Programme. Central London office. Company Enigma
09/06/2026
Full time
Semantic Architect Location: London, Hybrid Mission We are a growing health technology company building AI systems that improve how information flows within healthcare organisations. Our platform combines natural language processing, knowledge graphs, and generative AI to help healthcare providers and payers reduce administrative workload, improve decision making, and deliver better outcomes. Role Overview This is a senior, hands on technical leadership role focused on building production grade AI systems that combine LLMs, NLP pipelines, and structured knowledge. What You Will Do Your goal is to design and own the architecture that connects NLP pipelines processing clinical text, knowledge graphs and ontologies, LLM reasoning and orchestration layers, and evaluation and benchmarking systems. You'll also help scale the applied AI function by setting technical standards and coordinating complex AI development across engineering teams. Key Responsibilities Design end to end AI architectures integrating NLP, LLM orchestration, and knowledge graphs. Define how structured semantics guide and validate generative outputs. Set technical design standards for applied AI systems. Ensure AI features are robust, production ready, and aligned with product goals. Break product requirements into clear technical implementation plans. Coordinate work across NLP, graph engineering, and product teams. Maintain architectural coherence as systems scale. Design evaluation frameworks for hallucination detection, clinical concept extraction accuracy, model regression testing. Implement structured outputs and schema constrained generation. Introduce human in the loop review and continuous evaluation. Build AI workflows with traceability and auditability by default. Ensure systems align with healthcare regulatory requirements across UK and US contexts. Requirements MSc in Computer Science, AI, or related field (or equivalent experience). 3+ years building production AI systems involving structured knowledge. Strong experience integrating LLMs with knowledge graphs or structured data. Experience building NLP pipelines and semantic reasoning systems. Python for NLP pipelines, orchestration, and evaluation tooling. Experience with LLM engineering and prompt design using structured outputs. Familiarity with schema constrained generation (JSON / ontology driven outputs). Experience designing evaluation frameworks for production LLM systems. Experience designing AI systems grounded or validated by graph structures. Ability to collaborate with knowledge engineers on ontology design. Understanding of graph performance and scaling considerations. Experience in regulated environments (healthcare, fintech, gov, etc.) - Nice to have. Experience integrating AI systems into production services - Nice to have. Interest in building reliable AI systems in high impact domains - Nice to have. What We're Looking For Systems thinker who values clarity and architectural coherence. Pragmatic engineer focused on production impact. Comfortable taking ownership of complex technical systems. Strong communicator who shares and documents architectural knowledge. Hiring Process Introductory screening interview (30 minutes) Technical deep dive interview with AI and engineering leadership Final interview and offer. Benefits Competitive salary. Company pension. 25 days annual leave. Flexible hybrid working. Employee Assistance Programme. Central London office. Company Enigma
Position Type: Full time Type Of Hire: Experienced (relevant combo of work and education) Education Desired: Associate's Degree At FIS, our technology and our people are moving forward. We advance the way the world pays, banks and invests. We believe in building inclusive, diverse teams. Together, we innovate to help our colleagues, clients and communities succeed. If you're ready to grow your career and make an impact in fintech, we have one question: Are you FIS? About the role Are you ready to shape the future of AI within one of the world's most influential fintech companies? At FIS, we're hiring an experienced Engineer Principal, Artificial Intelligence / Machine Learning to define, lead, and execute our enterprise wide AI/ML vision. In this strategic and highly visible role, you will architect and drive cutting edge AI systems that power transformation across our global commercial organization. You'll lead the design and development of advanced machine learning algorithms, intelligent agents, and enterprise scale AI platforms-solving complex challenges unique to fintech. You will work closely with cross functional teams-including product managers, software engineers, data scientists, and business leaders-to build and embed AI solutions into FIS products, tools, and processes. You'll also shape how the entire commercial organization interacts with AI through modern architectures and next generation agentic systems. What you will be doing Providing strategic leadership and owning the AI/ML roadmap for the commercial organization. Leading and growing a high calibre team of Data Scientists and AI/ML engineers, fostering a culture of innovation, collaboration, and continuous learning. Designing, building, and deploying AI Agents at scale-from automated lead generation agents to intelligent pricing and decisioning systems. Developing advanced ML models and agentic systems to address complex challenges across fintech, including predictive analytics, optimization, personalization, and intelligent automation. Owning the strategy and architecture for how the entire commercial organization interacts with AI, including model governance, tooling, infrastructure, and integration frameworks. Collaborating with stakeholders across Sales, Product, Engineering, and Revenue Operations to embed AI capabilities into workflows, products, and commercial strategies. Driving innovation in Generative AI, Agentic AI, deep learning, and large scale ML deployment. Championing best practice in MLOps, cloud native development (Azure preferred), and scalable production deployment. Presenting AI program outcomes, strategic recommendations, and technical guidance to senior leadership and executive audiences. What you will need Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or related field (required). Master's or PhD in AI/ML, Computer Science, or related discipline (preferred). 8+ years of experience in AI/ML engineering, applied machine learning, or advanced analytics. Demonstrated experience leading technical AI teams and delivering enterprise scale AI/ML solutions. Deep expertise in machine learning algorithms, neural networks, large scale architectures, and modern AI frameworks. Hands on experience with Generative AI and Agentic AI (LLMs, foundation models, autonomous agents, large scale inference). Strong proficiency in Python and SQL; experience building production grade ML systems. Experience with Azure or another major cloud platform; familiarity with MLOps pipelines and deployment automation. Excellent communication skills and the ability to simplify complex technical concepts for business audiences. Ability to thrive in a fast paced, high impact environment with multiple stakeholders. Curiosity, proactive problem solving mindset, and passion for innovation. What we offer you Opportunities to innovate in fintech and shape the future of enterprise AI. Inclusive and diverse team atmosphere. Professional and personal development. Resources to contribute to your community. Competitive salary and benefits. FIS Global
09/06/2026
Full time
Position Type: Full time Type Of Hire: Experienced (relevant combo of work and education) Education Desired: Associate's Degree At FIS, our technology and our people are moving forward. We advance the way the world pays, banks and invests. We believe in building inclusive, diverse teams. Together, we innovate to help our colleagues, clients and communities succeed. If you're ready to grow your career and make an impact in fintech, we have one question: Are you FIS? About the role Are you ready to shape the future of AI within one of the world's most influential fintech companies? At FIS, we're hiring an experienced Engineer Principal, Artificial Intelligence / Machine Learning to define, lead, and execute our enterprise wide AI/ML vision. In this strategic and highly visible role, you will architect and drive cutting edge AI systems that power transformation across our global commercial organization. You'll lead the design and development of advanced machine learning algorithms, intelligent agents, and enterprise scale AI platforms-solving complex challenges unique to fintech. You will work closely with cross functional teams-including product managers, software engineers, data scientists, and business leaders-to build and embed AI solutions into FIS products, tools, and processes. You'll also shape how the entire commercial organization interacts with AI through modern architectures and next generation agentic systems. What you will be doing Providing strategic leadership and owning the AI/ML roadmap for the commercial organization. Leading and growing a high calibre team of Data Scientists and AI/ML engineers, fostering a culture of innovation, collaboration, and continuous learning. Designing, building, and deploying AI Agents at scale-from automated lead generation agents to intelligent pricing and decisioning systems. Developing advanced ML models and agentic systems to address complex challenges across fintech, including predictive analytics, optimization, personalization, and intelligent automation. Owning the strategy and architecture for how the entire commercial organization interacts with AI, including model governance, tooling, infrastructure, and integration frameworks. Collaborating with stakeholders across Sales, Product, Engineering, and Revenue Operations to embed AI capabilities into workflows, products, and commercial strategies. Driving innovation in Generative AI, Agentic AI, deep learning, and large scale ML deployment. Championing best practice in MLOps, cloud native development (Azure preferred), and scalable production deployment. Presenting AI program outcomes, strategic recommendations, and technical guidance to senior leadership and executive audiences. What you will need Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or related field (required). Master's or PhD in AI/ML, Computer Science, or related discipline (preferred). 8+ years of experience in AI/ML engineering, applied machine learning, or advanced analytics. Demonstrated experience leading technical AI teams and delivering enterprise scale AI/ML solutions. Deep expertise in machine learning algorithms, neural networks, large scale architectures, and modern AI frameworks. Hands on experience with Generative AI and Agentic AI (LLMs, foundation models, autonomous agents, large scale inference). Strong proficiency in Python and SQL; experience building production grade ML systems. Experience with Azure or another major cloud platform; familiarity with MLOps pipelines and deployment automation. Excellent communication skills and the ability to simplify complex technical concepts for business audiences. Ability to thrive in a fast paced, high impact environment with multiple stakeholders. Curiosity, proactive problem solving mindset, and passion for innovation. What we offer you Opportunities to innovate in fintech and shape the future of enterprise AI. Inclusive and diverse team atmosphere. Professional and personal development. Resources to contribute to your community. Competitive salary and benefits. FIS Global
A leading AI solutions firm in Warminster is seeking an AI Solutions Lead to design and deliver innovative AI and machine learning solutions. You will lead technical teams and ensure compliance with security standards while mentoring others. The ideal candidate has extensive experience in AI technologies and a strong understanding of the AI lifecycle. This position offers a hybrid work environment and competitive salary with great benefits.
09/06/2026
Full time
A leading AI solutions firm in Warminster is seeking an AI Solutions Lead to design and deliver innovative AI and machine learning solutions. You will lead technical teams and ensure compliance with security standards while mentoring others. The ideal candidate has extensive experience in AI technologies and a strong understanding of the AI lifecycle. This position offers a hybrid work environment and competitive salary with great benefits.
About the team Our Defence team is focused on building and embedding human centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting edge AI to high stakes situations and maintain the balance of global powers essential to our liberty. Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on site with these customers which may require travel to locations throughout the UK. When not required on client sites, you'll have the flexibility to work from our London office or remotely from elsewhere within the UK. About the role As a Senior Machine Learning Engineer, you'll lead development and deployment of cutting edge AI systems for our diverse clients. You'll design, build, and deploy scalable, production grade ML software and infrastructure that meets rigorous operational and ethical standards. This is an ambitious, cross functional role requiring a blend of technical expertise, engineering leadership, and confident client facing skills. Responsibilities Lead technical scoping and architectural decisions for high impact ML systems. Design and build production grade ML software, tools, and scalable infrastructure. Define and implement best practices and standards for deploying machine learning at scale across the business. Collaborate with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities. Act as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies. Mentor and develop junior engineers, actively shaping our team's engineering culture and technical depth. Qualifications Understanding of the full ML lifecycle and significant experience operationalising models built with frameworks such as TensorFlow or PyTorch. Deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems. Hands on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure. Extensive experience working with container and orchestration tools such as Docker and Kubernetes to build and manage applications at scale. Comfortable thriving in fast paced, high growth environments, demonstrating ownership and autonomy in driving projects to completion. Excellent communication skills, confidently guiding both technical teams and senior, non technical stakeholders. Senior (5+ years of experience). Benefits Unlimited annual leave policy. Private healthcare and dental. Enhanced parental leave. Family friendly flexibility & flexible working. Sanctus coaching. Hybrid working. EEO Statement We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
09/06/2026
Full time
About the team Our Defence team is focused on building and embedding human centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting edge AI to high stakes situations and maintain the balance of global powers essential to our liberty. Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on site with these customers which may require travel to locations throughout the UK. When not required on client sites, you'll have the flexibility to work from our London office or remotely from elsewhere within the UK. About the role As a Senior Machine Learning Engineer, you'll lead development and deployment of cutting edge AI systems for our diverse clients. You'll design, build, and deploy scalable, production grade ML software and infrastructure that meets rigorous operational and ethical standards. This is an ambitious, cross functional role requiring a blend of technical expertise, engineering leadership, and confident client facing skills. Responsibilities Lead technical scoping and architectural decisions for high impact ML systems. Design and build production grade ML software, tools, and scalable infrastructure. Define and implement best practices and standards for deploying machine learning at scale across the business. Collaborate with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities. Act as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies. Mentor and develop junior engineers, actively shaping our team's engineering culture and technical depth. Qualifications Understanding of the full ML lifecycle and significant experience operationalising models built with frameworks such as TensorFlow or PyTorch. Deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems. Hands on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure. Extensive experience working with container and orchestration tools such as Docker and Kubernetes to build and manage applications at scale. Comfortable thriving in fast paced, high growth environments, demonstrating ownership and autonomy in driving projects to completion. Excellent communication skills, confidently guiding both technical teams and senior, non technical stakeholders. Senior (5+ years of experience). Benefits Unlimited annual leave policy. Private healthcare and dental. Enhanced parental leave. Family friendly flexibility & flexible working. Sanctus coaching. Hybrid working. EEO Statement We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
About the team Our Defence team is focused on building and embedding human centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting edge AI to high stakes situations and maintain the balance of global powers essential to our liberty. Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on site with these customers which may require travel to locations throughout the UK. When not required on client sites, you'll have the flexibility to work from our London office or remotely from elsewhere within the UK. About the role As a Senior Machine Learning Engineer, you'll lead development and deployment of cutting edge AI systems for our diverse clients. You'll design, build, and deploy scalable, production grade ML software and infrastructure that meets rigorous operational and ethical standards. This is an ambitious, cross functional role requiring a blend of technical expertise, engineering leadership, and confident client facing skills. Responsibilities Lead technical scoping and architectural decisions for high impact ML systems. Design and build production grade ML software, tools, and scalable infrastructure. Define and implement best practices and standards for deploying machine learning at scale across the business. Collaborate with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities. Act as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies. Mentor and develop junior engineers, actively shaping our team's engineering culture and technical depth. Qualifications Understanding of the full ML lifecycle and significant experience operationalising models built with frameworks such as TensorFlow or PyTorch. Deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems. Hands on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure. Extensive experience working with container and orchestration tools such as Docker and Kubernetes to build and manage applications at scale. Comfortable thriving in fast paced, high growth environments, demonstrating ownership and autonomy in driving projects to completion. Excellent communication skills, confidently guiding both technical teams and senior, non technical stakeholders. Senior (5+ years of experience). Benefits Unlimited annual leave policy. Private healthcare and dental. Enhanced parental leave. Family friendly flexibility & flexible working. Sanctus coaching. Hybrid working. EEO Statement We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
09/06/2026
Full time
About the team Our Defence team is focused on building and embedding human centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting edge AI to high stakes situations and maintain the balance of global powers essential to our liberty. Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on site with these customers which may require travel to locations throughout the UK. When not required on client sites, you'll have the flexibility to work from our London office or remotely from elsewhere within the UK. About the role As a Senior Machine Learning Engineer, you'll lead development and deployment of cutting edge AI systems for our diverse clients. You'll design, build, and deploy scalable, production grade ML software and infrastructure that meets rigorous operational and ethical standards. This is an ambitious, cross functional role requiring a blend of technical expertise, engineering leadership, and confident client facing skills. Responsibilities Lead technical scoping and architectural decisions for high impact ML systems. Design and build production grade ML software, tools, and scalable infrastructure. Define and implement best practices and standards for deploying machine learning at scale across the business. Collaborate with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities. Act as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies. Mentor and develop junior engineers, actively shaping our team's engineering culture and technical depth. Qualifications Understanding of the full ML lifecycle and significant experience operationalising models built with frameworks such as TensorFlow or PyTorch. Deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems. Hands on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure. Extensive experience working with container and orchestration tools such as Docker and Kubernetes to build and manage applications at scale. Comfortable thriving in fast paced, high growth environments, demonstrating ownership and autonomy in driving projects to completion. Excellent communication skills, confidently guiding both technical teams and senior, non technical stakeholders. Senior (5+ years of experience). Benefits Unlimited annual leave policy. Private healthcare and dental. Enhanced parental leave. Family friendly flexibility & flexible working. Sanctus coaching. Hybrid working. EEO Statement We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
Forge Holiday Group is seeking a Senior AI/ML Engineer to design and deploy scalable AI solutions at their Chester HQ. The role involves building end-to-end AI/ML pipelines and collaborating with cross-functional teams. Applicants should have a strong background in data pipeline architecture and proficiency with tools like Microsoft Fabric and Azure ML. The position offers a salary of up to £80,000, hybrid working, and benefits including annual bonus scheme and health cash plan.
09/06/2026
Full time
Forge Holiday Group is seeking a Senior AI/ML Engineer to design and deploy scalable AI solutions at their Chester HQ. The role involves building end-to-end AI/ML pipelines and collaborating with cross-functional teams. Applicants should have a strong background in data pipeline architecture and proficiency with tools like Microsoft Fabric and Azure ML. The position offers a salary of up to £80,000, hybrid working, and benefits including annual bonus scheme and health cash plan.
NLP PEOPLE, based in the United Kingdom, is looking for a skilled data scientist with a Bachelor's or Master's degree and over 5 years of experience. The candidate should possess strong programming skills in Python and be familiar with machine learning frameworks such as TensorFlow and PyTorch. The role emphasizes the importance of data processing tools like Pandas and NumPy, as well as a solid understanding of algorithms and cloud platforms. This is a technically demanding position offering a chance to work with cutting-edge technology.
09/06/2026
Full time
NLP PEOPLE, based in the United Kingdom, is looking for a skilled data scientist with a Bachelor's or Master's degree and over 5 years of experience. The candidate should possess strong programming skills in Python and be familiar with machine learning frameworks such as TensorFlow and PyTorch. The role emphasizes the importance of data processing tools like Pandas and NumPy, as well as a solid understanding of algorithms and cloud platforms. This is a technically demanding position offering a chance to work with cutting-edge technology.
Job Description Junior AI Developer Programme - Job Support Included Complete online training designed to help you enter junior AI and developer roles. Study part-time, build coding and AI fundamentals, and receive structured job support to help you secure your first role. Programme This 10-14 week online programme covers Python programming, AI fundamentals, machine learning basics, and applied development projects. Tutor support is provided throughout, alongside portfolio-building and job readiness support. Outcome Junior AI Developer and entry-level AI roles. Starting salaries: £30,000 - £40,000 Who this is for Ideal for beginners and career changers with an interest in coding and AI. Company ITonlinelearning Recruitment Qualifications None specified Level of experience (years) Senior (5+ years of experience)
09/06/2026
Full time
Job Description Junior AI Developer Programme - Job Support Included Complete online training designed to help you enter junior AI and developer roles. Study part-time, build coding and AI fundamentals, and receive structured job support to help you secure your first role. Programme This 10-14 week online programme covers Python programming, AI fundamentals, machine learning basics, and applied development projects. Tutor support is provided throughout, alongside portfolio-building and job readiness support. Outcome Junior AI Developer and entry-level AI roles. Starting salaries: £30,000 - £40,000 Who this is for Ideal for beginners and career changers with an interest in coding and AI. Company ITonlinelearning Recruitment Qualifications None specified Level of experience (years) Senior (5+ years of experience)
Job Description Junior AI Developer Programme - Job Support Included Complete online training designed to help you enter junior AI and developer roles. Study part-time, build coding and AI fundamentals, and receive structured job support to help you secure your first role. Programme This 10-14 week online programme covers Python programming, AI fundamentals, machine learning basics, and applied development projects. Tutor support is provided throughout, alongside portfolio-building and job readiness support. Outcome Junior AI Developer and entry-level AI roles. Starting salaries: £30,000 - £40,000 Who this is for Ideal for beginners and career changers with an interest in coding and AI. Company ITonlinelearning Recruitment Qualifications None specified Level of experience (years) Senior (5+ years of experience)
09/06/2026
Full time
Job Description Junior AI Developer Programme - Job Support Included Complete online training designed to help you enter junior AI and developer roles. Study part-time, build coding and AI fundamentals, and receive structured job support to help you secure your first role. Programme This 10-14 week online programme covers Python programming, AI fundamentals, machine learning basics, and applied development projects. Tutor support is provided throughout, alongside portfolio-building and job readiness support. Outcome Junior AI Developer and entry-level AI roles. Starting salaries: £30,000 - £40,000 Who this is for Ideal for beginners and career changers with an interest in coding and AI. Company ITonlinelearning Recruitment Qualifications None specified Level of experience (years) Senior (5+ years of experience)
Location: London or Gloucestershire Overview We're looking for a Senior Machine Learning Engineer to join a supportive, multidisciplinary team developing AI/ML systems to solve critical National Security challenges. As a Senior Machine Learning Engineer, you'll lead onsite engagements with clients and stakeholders to translate their problems into robust, production-ready machine learning solutions. You'll rapidly explore, prototype, and deploy ML approaches both within and beyond our core capability offerings, taking ownership from initial concept through to live operation. Working at the forefront of applied AI alongside experts across multiple disciplines, you'll help users defend against Defence and National Security threats, directly contributing to safer, more resilient systems deployed where they matter most. Mind Foundry works on some of the most complex and urgent challenges in Defence and National Security. We specialise in supporting customers across the community to make sense at the speed of relevance from the ever-increasing volumes of data collected by sensors and systems. We often find ourselves working at the edge in complex environments where power, compute, and bandwidth are in short supply. The work is challenging, the customer needs products and applications they can trust, and the sense of achievement is therefore substantial. This is an opportunity to innovate at the forefront of applied machine learning, tackle high-impact real-world problems, grow your technical skills, and shape the way AI/ML solutions are delivered to critical operational environments. Because of the nature of this work: You will need to hold existing or be eligible for UK Developed Vetting (DV), details of which can be found on the Gov UK website. Be expected to work primarily on our clients' sites in London or Gloucestershire, please consider your commute when applying. Key day-to-day activities Lead technical scoping and make key architectural decisions to enable delivery of professional-level ML solutions. Design and build prototypes and robust, production-ready ML solutions. Work collaboratively with colleagues across the team (Product Managers, Machine Learning Scientists, Software Engineers) to solve critical National Security challenges. Maintain and develop a strong working knowledge of state-of-the-art ML methods, software tools and implementation methods. Write maintainable production code and promote best practices for code quality in a scientific codebase. Mentor and develop junior Machine Learning Engineers. Provide advice and explain core ML concepts to our customers and partners. Provide training to our customers and partners on Mind Foundry products and solutions. Core kills & Experience • A degree in Computer Science, Applied Mathematics, Statistics, Physics, or a related STEM field (or equivalent practical experience). Strong engineer with demonstrated proficiency in programming languages such as Python, producing clean, reproducible, well-tested, and well-documented code suitable for long-term ownership and handover. Hands-on experience with production infrastructure, including Docker, Linux, CI/CD, MLOps, cloud platforms, and model serving architectures. Be able to work with state-of-the-art ML libraries to deliver powerful results quickly. Exceptional problem-solving skills and comfortable working in ambiguous, fast-moving environments, embedded with customers or delivery teams. Hold existing Developed Vetting (DV) level clearance, or willing and eligible to obtain and maintain UK security clearance to Developed Vetting (DV) level. Nice to Have Prior experience working with government customers, defence contractors, or in military environments. Ability to write technical material (documentation, published papers, internal technical notes etc). Experience with Natural Language Processing (NLP), Large Language Models (LLMs) or Image Processing. Experience in areas of model development, data processing and streaming (Spark, Kafka), microservices in python (Flask or FastAPI), and interactive visualisations and User Interfaces (Streamlit, Plotly, Gradio etc). While we think the above experience is important, we're keen to hear from people that believe they have valuable skills, ideas, or perspectives that will make an impact in this role. If our team and mission resonate with you, but you do not necessarily meet all our requirements, we still encourage you to apply. What do we offer? We believe in investing in our people by encouraging career and personal development that aligns with your goals and ambitions. We make sure all staff have the tools, time and support they need to shape their own professional development. We want to help you excel at what you do and support your growth within the company. You'll enjoy a competitive compensation package and great benefits such as: 25 days of annual leave plus Bank Holidays Salary Sacrifice Pension scheme with a 5% employer contribution (minimum 5% employee contribution) Private Healthcare (including dental and optical cover) Group Life Cover at x3 your annual salary once you pass your probation period Enhanced Paid Parental and Sickness Leave Workplace Nursery Scheme Pet friendly office Professional and personal development For more information, please visit our website or email Interview Process Initialdiscussion with the People team TestDome coding exercise 1 hour interview with two members of the Science & Engineering Team 1 hour technical interview, including a 10-minute presentation and live coding exercise In person meet the team at our Summertown, Oxford office Company Mind Foundry Qualifications Language requirements Specific requirements Educational level Level of experience (years) Senior (5+ years of experience) Tagged as: Industry, Language Modeling, Machine Learning, Natural Language Processing, NLP, United Kingdom
09/06/2026
Full time
Location: London or Gloucestershire Overview We're looking for a Senior Machine Learning Engineer to join a supportive, multidisciplinary team developing AI/ML systems to solve critical National Security challenges. As a Senior Machine Learning Engineer, you'll lead onsite engagements with clients and stakeholders to translate their problems into robust, production-ready machine learning solutions. You'll rapidly explore, prototype, and deploy ML approaches both within and beyond our core capability offerings, taking ownership from initial concept through to live operation. Working at the forefront of applied AI alongside experts across multiple disciplines, you'll help users defend against Defence and National Security threats, directly contributing to safer, more resilient systems deployed where they matter most. Mind Foundry works on some of the most complex and urgent challenges in Defence and National Security. We specialise in supporting customers across the community to make sense at the speed of relevance from the ever-increasing volumes of data collected by sensors and systems. We often find ourselves working at the edge in complex environments where power, compute, and bandwidth are in short supply. The work is challenging, the customer needs products and applications they can trust, and the sense of achievement is therefore substantial. This is an opportunity to innovate at the forefront of applied machine learning, tackle high-impact real-world problems, grow your technical skills, and shape the way AI/ML solutions are delivered to critical operational environments. Because of the nature of this work: You will need to hold existing or be eligible for UK Developed Vetting (DV), details of which can be found on the Gov UK website. Be expected to work primarily on our clients' sites in London or Gloucestershire, please consider your commute when applying. Key day-to-day activities Lead technical scoping and make key architectural decisions to enable delivery of professional-level ML solutions. Design and build prototypes and robust, production-ready ML solutions. Work collaboratively with colleagues across the team (Product Managers, Machine Learning Scientists, Software Engineers) to solve critical National Security challenges. Maintain and develop a strong working knowledge of state-of-the-art ML methods, software tools and implementation methods. Write maintainable production code and promote best practices for code quality in a scientific codebase. Mentor and develop junior Machine Learning Engineers. Provide advice and explain core ML concepts to our customers and partners. Provide training to our customers and partners on Mind Foundry products and solutions. Core kills & Experience • A degree in Computer Science, Applied Mathematics, Statistics, Physics, or a related STEM field (or equivalent practical experience). Strong engineer with demonstrated proficiency in programming languages such as Python, producing clean, reproducible, well-tested, and well-documented code suitable for long-term ownership and handover. Hands-on experience with production infrastructure, including Docker, Linux, CI/CD, MLOps, cloud platforms, and model serving architectures. Be able to work with state-of-the-art ML libraries to deliver powerful results quickly. Exceptional problem-solving skills and comfortable working in ambiguous, fast-moving environments, embedded with customers or delivery teams. Hold existing Developed Vetting (DV) level clearance, or willing and eligible to obtain and maintain UK security clearance to Developed Vetting (DV) level. Nice to Have Prior experience working with government customers, defence contractors, or in military environments. Ability to write technical material (documentation, published papers, internal technical notes etc). Experience with Natural Language Processing (NLP), Large Language Models (LLMs) or Image Processing. Experience in areas of model development, data processing and streaming (Spark, Kafka), microservices in python (Flask or FastAPI), and interactive visualisations and User Interfaces (Streamlit, Plotly, Gradio etc). While we think the above experience is important, we're keen to hear from people that believe they have valuable skills, ideas, or perspectives that will make an impact in this role. If our team and mission resonate with you, but you do not necessarily meet all our requirements, we still encourage you to apply. What do we offer? We believe in investing in our people by encouraging career and personal development that aligns with your goals and ambitions. We make sure all staff have the tools, time and support they need to shape their own professional development. We want to help you excel at what you do and support your growth within the company. You'll enjoy a competitive compensation package and great benefits such as: 25 days of annual leave plus Bank Holidays Salary Sacrifice Pension scheme with a 5% employer contribution (minimum 5% employee contribution) Private Healthcare (including dental and optical cover) Group Life Cover at x3 your annual salary once you pass your probation period Enhanced Paid Parental and Sickness Leave Workplace Nursery Scheme Pet friendly office Professional and personal development For more information, please visit our website or email Interview Process Initialdiscussion with the People team TestDome coding exercise 1 hour interview with two members of the Science & Engineering Team 1 hour technical interview, including a 10-minute presentation and live coding exercise In person meet the team at our Summertown, Oxford office Company Mind Foundry Qualifications Language requirements Specific requirements Educational level Level of experience (years) Senior (5+ years of experience) Tagged as: Industry, Language Modeling, Machine Learning, Natural Language Processing, NLP, United Kingdom
About The Company At Cleo, we're not just building another fintech app. We're embarking on a mission to fundamentally change humanity's relationship with money. Imagine a world where everyone, regardless of background or income, has access to a hyper intelligent financial advisor in their pocket. That's the future we're creating. Cleo is a rare success story: a profitable, fast growing unicorn with over $300 million in ARR and growing over 2 year over year. This isn't just a job; it's a chance to join a team of brilliant, driven individuals who are passionate about making a real difference. We have an exceptionally high bar for talent, seeking individuals who are not only at the top of their field but also embody our culture of collaboration and positive impact. If you're driven by complex challenges that push your expertise, the chance to shape something truly transformative, and the potential to share in Cleo's success as we scale, while growing alongside a company that's scaling fast, this might be your perfect fit. Follow us on LinkedIn to keep up to date with new product features and insights from the team. About The Role Senior Machine Learning Engineers at Cleo work on building novel solutions to real world problems. This could involve creating chatbots that coach our users around their financial health, building classifiers to better understand transaction data, or optimizing transactions within our payments platform. 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 lead technical work within a team of adaptable, creative, and product focused engineers, train and integrate cutting edge machine learning across a variety of products, and deploy them into production for millions of users. What You'll Be Doing Training and fine tuning models to solve customer problems. Deploying these models into our production environments using our in house ML platform. Integrating with large language models hosted by OpenAI, Anthropic, GCP, AWS, and others. Working cross functionally with backend engineers, data analysts, UX writers, product managers, annotation teams, and others to ship features that improve our users' financial health. Taking the initiative to propose and lead technical work toward problems that were previously unknown or poorly understood. Driving change at the chapter level that affects multiple squads. Mentoring and advising colleagues on model choice, architecture, and evaluation, and promoting best practices for how we use LLMs. Developed deeper understanding of users' finances through models extracting meaning from transaction data. Developed contextual intent classifiers to understand conversations users have with Cleo. Built ML models to present user actions in a contextual way within conversations. Built ML models to assess risk of customers using bank transaction features and user activity. Built models to optimize payment success for our customers and optimize business costs. What You'll Need Excellent knowledge of both data science (Python, SQL) and production tools. Deep understanding of probability and statistics fundamentals. Big picture thinking to diagnose problems and operationalize research. Top tier communication skills to partner with product and commercial leaders. Industry leading contributions to your field communicated through conferences, blogs, talks, or open source projects. Advanced degree in a quantitative discipline or equivalent commercial experience. Nice to have: Strong experience with additional programming languages such as Java, Scala, or C++. Recruitment Process Interview with a recruiter (30 minutes). Interview with the hiring manager (30 minutes). Python coding interview (45 minutes). White boarding session (60 minutes). Technical discussion (45 minutes). Company Cleo
09/06/2026
Full time
About The Company At Cleo, we're not just building another fintech app. We're embarking on a mission to fundamentally change humanity's relationship with money. Imagine a world where everyone, regardless of background or income, has access to a hyper intelligent financial advisor in their pocket. That's the future we're creating. Cleo is a rare success story: a profitable, fast growing unicorn with over $300 million in ARR and growing over 2 year over year. This isn't just a job; it's a chance to join a team of brilliant, driven individuals who are passionate about making a real difference. We have an exceptionally high bar for talent, seeking individuals who are not only at the top of their field but also embody our culture of collaboration and positive impact. If you're driven by complex challenges that push your expertise, the chance to shape something truly transformative, and the potential to share in Cleo's success as we scale, while growing alongside a company that's scaling fast, this might be your perfect fit. Follow us on LinkedIn to keep up to date with new product features and insights from the team. About The Role Senior Machine Learning Engineers at Cleo work on building novel solutions to real world problems. This could involve creating chatbots that coach our users around their financial health, building classifiers to better understand transaction data, or optimizing transactions within our payments platform. 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 lead technical work within a team of adaptable, creative, and product focused engineers, train and integrate cutting edge machine learning across a variety of products, and deploy them into production for millions of users. What You'll Be Doing Training and fine tuning models to solve customer problems. Deploying these models into our production environments using our in house ML platform. Integrating with large language models hosted by OpenAI, Anthropic, GCP, AWS, and others. Working cross functionally with backend engineers, data analysts, UX writers, product managers, annotation teams, and others to ship features that improve our users' financial health. Taking the initiative to propose and lead technical work toward problems that were previously unknown or poorly understood. Driving change at the chapter level that affects multiple squads. Mentoring and advising colleagues on model choice, architecture, and evaluation, and promoting best practices for how we use LLMs. Developed deeper understanding of users' finances through models extracting meaning from transaction data. Developed contextual intent classifiers to understand conversations users have with Cleo. Built ML models to present user actions in a contextual way within conversations. Built ML models to assess risk of customers using bank transaction features and user activity. Built models to optimize payment success for our customers and optimize business costs. What You'll Need Excellent knowledge of both data science (Python, SQL) and production tools. Deep understanding of probability and statistics fundamentals. Big picture thinking to diagnose problems and operationalize research. Top tier communication skills to partner with product and commercial leaders. Industry leading contributions to your field communicated through conferences, blogs, talks, or open source projects. Advanced degree in a quantitative discipline or equivalent commercial experience. Nice to have: Strong experience with additional programming languages such as Java, Scala, or C++. Recruitment Process Interview with a recruiter (30 minutes). Interview with the hiring manager (30 minutes). Python coding interview (45 minutes). White boarding session (60 minutes). Technical discussion (45 minutes). Company Cleo
JPMAM Data Science is dedicated to enhancing and streamlining every stage of the investment process, from financial analysis and portfolio management to client services and advisory. We analyse extensive collections of data including financial documents, analyst reports, news articles, meeting notes, and client communications to empower data driven decision making and process automation. We are seeking passionate data scientists who can apply the latest methodologies to generate real time and actionable insights. The candidate must excel in working in a highly collaborative environment together with the business stakeholders, technologists, and control partners to deploy solutions into production. A strong passion for machine learning is essential, along with a commitment to continuous learning, research, and experimentation with new innovations in the field. Candidates should possess a solid understanding of modern NLP and/or financial knowledge, hands on implementation experience, strong analytical thinking, and a keen interest in applying advanced analytics to solve complex problems in finance and asset management. Job Responsibilities Design and implement advanced techniques such as semantic search, retrieval augmented generation (RAG), named entity recognition (NER), prompt engineering, and personalization for content extraction, search, question answering, reasoning, and recommendation. Develop LLM, NLP, and ML solutions that address client requirements and drive business transformation. Work closely with partner teams-including Business, Technology, Product Management, Strategy, and Business Management-to deploy and scale developed models in production environments. Build comprehensive testing setups to evaluate model performance and ensure efficacy and reliability. Communicate results effectively to business stakeholders through written reports, visualizations, and presentations. Stay current with the latest research in LLM, ML, and data science, and proactively identify and leverage emerging techniques to drive ongoing enhancement. Senior level (5+ years of experience). Required Qualifications, Capabilities, and Skills Advanced degree in Data Science, Computer Science, or Machine Learning. Proven experience applying NLP, LLM, and ML techniques to solve high impact business problems. Proficiency in programming languages such as Python and familiarity with machine learning libraries and frameworks. Excellent communication skills and ability to work collaboratively in a fast paced, dynamic environment. Strong analytical skills with an understanding of financial markets and asset management.
09/06/2026
Full time
JPMAM Data Science is dedicated to enhancing and streamlining every stage of the investment process, from financial analysis and portfolio management to client services and advisory. We analyse extensive collections of data including financial documents, analyst reports, news articles, meeting notes, and client communications to empower data driven decision making and process automation. We are seeking passionate data scientists who can apply the latest methodologies to generate real time and actionable insights. The candidate must excel in working in a highly collaborative environment together with the business stakeholders, technologists, and control partners to deploy solutions into production. A strong passion for machine learning is essential, along with a commitment to continuous learning, research, and experimentation with new innovations in the field. Candidates should possess a solid understanding of modern NLP and/or financial knowledge, hands on implementation experience, strong analytical thinking, and a keen interest in applying advanced analytics to solve complex problems in finance and asset management. Job Responsibilities Design and implement advanced techniques such as semantic search, retrieval augmented generation (RAG), named entity recognition (NER), prompt engineering, and personalization for content extraction, search, question answering, reasoning, and recommendation. Develop LLM, NLP, and ML solutions that address client requirements and drive business transformation. Work closely with partner teams-including Business, Technology, Product Management, Strategy, and Business Management-to deploy and scale developed models in production environments. Build comprehensive testing setups to evaluate model performance and ensure efficacy and reliability. Communicate results effectively to business stakeholders through written reports, visualizations, and presentations. Stay current with the latest research in LLM, ML, and data science, and proactively identify and leverage emerging techniques to drive ongoing enhancement. Senior level (5+ years of experience). Required Qualifications, Capabilities, and Skills Advanced degree in Data Science, Computer Science, or Machine Learning. Proven experience applying NLP, LLM, and ML techniques to solve high impact business problems. Proficiency in programming languages such as Python and familiarity with machine learning libraries and frameworks. Excellent communication skills and ability to work collaboratively in a fast paced, dynamic environment. Strong analytical skills with an understanding of financial markets and asset management.