Machine Learning Engineer (LLM / AI Systems) London / Hybrid 0-3 Years Experience Competitive Salary Are you obsessed with AI and large language models? We're an early-stage startup building real-world products powered by LLMs - from intelligent copilots to adaptive automation tools - and we're looking for curious minds to help us shape the future of AI. What You'll Be Doing Research, train, and fine-tune large language models (LLMs) for real-world applications. Develop and optimise pipelines for data collection, preprocessing, and model evaluation. Collaborate with product engineers to deploy models into scalable production systems. Experiment with prompt engineering, RAG architectures, and multimodal models. Contribute to internal tools for monitoring, testing, and improving AI performance. Stay on the edge of ML/AI research - we give you time and resources to explore, learn, and publish. What We're Looking For 0-3 years of experience in Machine Learning, Data Science, or NLP/LLM. Strong Python skills; exposure to PyTorch / TensorFlow / Hugging Face. (Bonus) understand fundamentals of deep learning, LLMs, and MLOps, vector databases, embeddings, or retrieval-augmented generation (RAG). Loves solving complex problems and thrives in a fast-moving startup environment. Is curious, ambitious, and eager to build real AI systems that have an impact. What You'll Get Hands-on mentorship from senior ML engineers, AI researchers, and founders. Freedom to experiment with state-of-the-art models, tools, and frameworks. Modern tech stack (Python, LangChain, Hugging Face, OpenAI API, Pinecone, Kubernetes, etc.). Flexible working - remote-first culture with in-person team sessions for collaboration. Career acceleration - opportunities to own projects, lead development, and shape the product roadmap. An environment that values learning, creativity, and personal growth over bureaucracy. Perfect For Graduates or junior engineers with a passion for AI/ML looking to break into applied LLM engineering. Researchers or data scientists eager to move from theory to real-world deployment. Builders who want to join an early-stage company where their work genuinely moves the needle. Machine Learning Engineer, LLM Engineer, AI Engineer, Artificial Intelligence, Deep Learning, NLP, Natural Language Processing, Large Language Models, Generative AI, GenAI, Neural Networks, PyTorch, TensorFlow, Hugging Face, OpenAI, LangChain, RAG, Retrieval-Augmented Generation, Python, Data Science, AI Research, MLOps, Data Pipelines, Prompt Engineering, Model Fine-Tuning, Cloud Computing, AWS, Azure, Google Cloud, AI Infrastructure, Transformers, Reinforcement Learning, Vector Databases, Pinecone, Weaviate, Semantic Search, API Development, AI Deployment, Model Serving, AI Automation, Early Stage Startup, AI Startups, Tech Startup, Machine Intelligence, Applied AI, AI Applications, AI Innovation, AI Product Development, AI Tools, Research Engineer, ML Developer, Data Engineer, Graduate AI Engineer, Entry Level AI Engineer, Junior ML Engineer, AI Internship, AI Fellowship, Applied Machine Learning, AI Model Development, AI Systems, Deep Tech, AI R&D, AI Solutions, AI Platform, AI Careers, Computer Vision, Speech Recognition, Chatbot, AI Copilot, Cognitive Computing, Intelligent Systems.
05/12/2025
Full time
Machine Learning Engineer (LLM / AI Systems) London / Hybrid 0-3 Years Experience Competitive Salary Are you obsessed with AI and large language models? We're an early-stage startup building real-world products powered by LLMs - from intelligent copilots to adaptive automation tools - and we're looking for curious minds to help us shape the future of AI. What You'll Be Doing Research, train, and fine-tune large language models (LLMs) for real-world applications. Develop and optimise pipelines for data collection, preprocessing, and model evaluation. Collaborate with product engineers to deploy models into scalable production systems. Experiment with prompt engineering, RAG architectures, and multimodal models. Contribute to internal tools for monitoring, testing, and improving AI performance. Stay on the edge of ML/AI research - we give you time and resources to explore, learn, and publish. What We're Looking For 0-3 years of experience in Machine Learning, Data Science, or NLP/LLM. Strong Python skills; exposure to PyTorch / TensorFlow / Hugging Face. (Bonus) understand fundamentals of deep learning, LLMs, and MLOps, vector databases, embeddings, or retrieval-augmented generation (RAG). Loves solving complex problems and thrives in a fast-moving startup environment. Is curious, ambitious, and eager to build real AI systems that have an impact. What You'll Get Hands-on mentorship from senior ML engineers, AI researchers, and founders. Freedom to experiment with state-of-the-art models, tools, and frameworks. Modern tech stack (Python, LangChain, Hugging Face, OpenAI API, Pinecone, Kubernetes, etc.). Flexible working - remote-first culture with in-person team sessions for collaboration. Career acceleration - opportunities to own projects, lead development, and shape the product roadmap. An environment that values learning, creativity, and personal growth over bureaucracy. Perfect For Graduates or junior engineers with a passion for AI/ML looking to break into applied LLM engineering. Researchers or data scientists eager to move from theory to real-world deployment. Builders who want to join an early-stage company where their work genuinely moves the needle. Machine Learning Engineer, LLM Engineer, AI Engineer, Artificial Intelligence, Deep Learning, NLP, Natural Language Processing, Large Language Models, Generative AI, GenAI, Neural Networks, PyTorch, TensorFlow, Hugging Face, OpenAI, LangChain, RAG, Retrieval-Augmented Generation, Python, Data Science, AI Research, MLOps, Data Pipelines, Prompt Engineering, Model Fine-Tuning, Cloud Computing, AWS, Azure, Google Cloud, AI Infrastructure, Transformers, Reinforcement Learning, Vector Databases, Pinecone, Weaviate, Semantic Search, API Development, AI Deployment, Model Serving, AI Automation, Early Stage Startup, AI Startups, Tech Startup, Machine Intelligence, Applied AI, AI Applications, AI Innovation, AI Product Development, AI Tools, Research Engineer, ML Developer, Data Engineer, Graduate AI Engineer, Entry Level AI Engineer, Junior ML Engineer, AI Internship, AI Fellowship, Applied Machine Learning, AI Model Development, AI Systems, Deep Tech, AI R&D, AI Solutions, AI Platform, AI Careers, Computer Vision, Speech Recognition, Chatbot, AI Copilot, Cognitive Computing, Intelligent Systems.
Bentley Whitaker Search & Selection
Newcastle Upon Tyne, Tyne And Wear
Python / GenAI Engineer - LangChain, LangGraph, LLM, Langsmith, Langfuse My client (well known consultancy) brings together strategy, design, data science, and engineering to deliver transformative solutions. If you're passionate about GenAI, development, and shaping the digital future, this role is for you. This fantastic company offers excellent training to all their consultants, both online and classroom training. Candidates can live anywhere in the UK (remote) and will be based from home, however occasional client visits will be necessary for meetings, but these will be fully funded. As a GenAI/Python Engineer , you'll help design, build, and scale AI-powered applications using tools like RAG, intelligent agents, and LLMs. This hands-on, client-facing role blends technical depth with consulting impact. You will: Develop and scale GenAI solutions from POCs to production. Lead development across GenAI and traditional projects. Support DevOps, infrastructure, and cloud integration. Explore emerging GenAI frameworks. Mentor and guide junior team members. Profile for the Python/GenAI Developer roles You're an adaptable, hands-on engineer with experience and a passion for GenAI. Must Have: Strong Engineering skills in Python - 2yrs commercial minimum Any front-End experience is advantageous Experience with GenAI tools (LangChain, LangGraph, etc.) and LLMs (OpenAI, Anthropic, Llama, etc.) Familiarity with monitoring (Langsmith, Langfuse), Git, and vector/NoSQL/SQL databases Eligible for SC Clearance - lived in the UK for 5yrs+ Salary for the Python/GenAI Developer roles on offer is up to £55,000 dependent on experience + an excellent benefits package including extensive training and proper career development plans.
05/12/2025
Full time
Python / GenAI Engineer - LangChain, LangGraph, LLM, Langsmith, Langfuse My client (well known consultancy) brings together strategy, design, data science, and engineering to deliver transformative solutions. If you're passionate about GenAI, development, and shaping the digital future, this role is for you. This fantastic company offers excellent training to all their consultants, both online and classroom training. Candidates can live anywhere in the UK (remote) and will be based from home, however occasional client visits will be necessary for meetings, but these will be fully funded. As a GenAI/Python Engineer , you'll help design, build, and scale AI-powered applications using tools like RAG, intelligent agents, and LLMs. This hands-on, client-facing role blends technical depth with consulting impact. You will: Develop and scale GenAI solutions from POCs to production. Lead development across GenAI and traditional projects. Support DevOps, infrastructure, and cloud integration. Explore emerging GenAI frameworks. Mentor and guide junior team members. Profile for the Python/GenAI Developer roles You're an adaptable, hands-on engineer with experience and a passion for GenAI. Must Have: Strong Engineering skills in Python - 2yrs commercial minimum Any front-End experience is advantageous Experience with GenAI tools (LangChain, LangGraph, etc.) and LLMs (OpenAI, Anthropic, Llama, etc.) Familiarity with monitoring (Langsmith, Langfuse), Git, and vector/NoSQL/SQL databases Eligible for SC Clearance - lived in the UK for 5yrs+ Salary for the Python/GenAI Developer roles on offer is up to £55,000 dependent on experience + an excellent benefits package including extensive training and proper career development plans.
AI Developer - Generative AI Specialist - 3 months+ - Hybrid - Rate circa 500- 650 We are looking for an experienced AI Developer to join a team developing cutting edge AI solutions who will either have current and active SC clearance or have the ability to be able to obtain SC clearance. You will provide solutions across both Azure and AWS technologies and importantly have a demonstrable background in C#.Net . This will be a very much collaborative role working with a range of domain experts. Being the AI SME you will provide technical expertise on GenAI capabilities and its limitations to the non-technical people. What you will bring to the team Fine-tune Large Language Models (LLMs) and other generative architectures. Optimise pre-trained models (OpenAI, Anthropic, or open-source LLMs) for business use cases using prompt engineering and reinforcement learning. Experiment with model configurations to balance performance, cost, and scalability. Build robust data pipelines for continuous model improvement and retraining. Ensure compliance with ethical AI and data governance standards (privacy, bias mitigation). Develop APIs, microservices, and integrations to embed GenAI models into enterprise workflows. Work with frontend and backend teams to deliver AI-driven features in production. Required Skills Programming: Python, .NET/C# (Key to have a background in C#) Knowledge of AI principles and AI ethics Knowledge of data safety in LLM usage Experience with: AWS: boto3, Bedrock, SageMaker, Lambda, S3, EC2 Azure: Azure OpenAI Service, Cosmos DB Retrieval-Augmented Generation (RAG), Graph RAG Embedding models and LLM training fundamentals Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept our Data Protection Policy which can be found on our website. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job. Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003.
18/11/2025
Contractor
AI Developer - Generative AI Specialist - 3 months+ - Hybrid - Rate circa 500- 650 We are looking for an experienced AI Developer to join a team developing cutting edge AI solutions who will either have current and active SC clearance or have the ability to be able to obtain SC clearance. You will provide solutions across both Azure and AWS technologies and importantly have a demonstrable background in C#.Net . This will be a very much collaborative role working with a range of domain experts. Being the AI SME you will provide technical expertise on GenAI capabilities and its limitations to the non-technical people. What you will bring to the team Fine-tune Large Language Models (LLMs) and other generative architectures. Optimise pre-trained models (OpenAI, Anthropic, or open-source LLMs) for business use cases using prompt engineering and reinforcement learning. Experiment with model configurations to balance performance, cost, and scalability. Build robust data pipelines for continuous model improvement and retraining. Ensure compliance with ethical AI and data governance standards (privacy, bias mitigation). Develop APIs, microservices, and integrations to embed GenAI models into enterprise workflows. Work with frontend and backend teams to deliver AI-driven features in production. Required Skills Programming: Python, .NET/C# (Key to have a background in C#) Knowledge of AI principles and AI ethics Knowledge of data safety in LLM usage Experience with: AWS: boto3, Bedrock, SageMaker, Lambda, S3, EC2 Azure: Azure OpenAI Service, Cosmos DB Retrieval-Augmented Generation (RAG), Graph RAG Embedding models and LLM training fundamentals Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept our Data Protection Policy which can be found on our website. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job. Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003.
Cloud DevOps Support Engineer Salary: £45-55k Hybrid- Cardiff/Bristol Join an industry-leading MSP and cloud consulting business at an exciting phase of growth. This is a fantastic opportunity to work with some of the top AWS and Azure partner talent in the sector, contributing to the management and evolution of high-scale operational environments. As a Cloud DevOps Support Engineer, this position is predominantly operational (80%), with opportunities for rotation into project delivery and solution development to further enhance technical skills and cloud expertise. You'll play a critical part in optimising and supporting our customers' AWS and Azure environments, leveraging your Infrastructure-as-Code (IaC) proficiency, automation skills, and passion for cloud technology. This role suits a coder by nature who enjoys troubleshooting complex technical problems in cloud-native and hybrid settings, ensuring the highest standards of reliability, efficiency, and innovation. The successful candidate will be directly involved in managing our customer cloud platforms for a diverse enterprise client base, acting both as a trusted technical expert and a collaborative team player. You'll work side-by-side within a cross functional squad supporting both day-to-day operational excellence and next-gen cloud adoption initiatives. AWS associate level certification is essential, with a commitment to achieve professional certification needed; AI/ML experience is advantageous but not mandatory. Key technologies you will need to support include Windows, networking, with a blend of cloud native- PaaS expertise across security, serverless and AI/ML. Now is a great time to join and contribute to our operational maturity journey, benefit from best-in-class mentoring, and accelerate your career as we scale to meet ambitious growth targets. What you'll be doing: Operational Cloud Support Providing technical support and troubleshooting of AWS and Azure environments for enterprise customers, including incident management, monitoring, backup, and disaster recovery. Implement and maintain robust monitoring, alerting, and reporting frameworks to ensure SLA adherence and proactive issue detection. Support upgrades, patches, and problem resolution across cloud platforms with an automation-first mindset. Supporting cost optimisation (FinOps) and security posture improvement across client deployments. Automation, IaC, and CI/CD Build, optimise, and manage Infrastructure-as-Code (IaC) templates and automation scripts-primarily using Terraform, CloudFormation, ARM/Azure Bicep, and related tools. Develop, maintain, and enhance CI/CD pipelines and GitOps workflows to accelerate cloud deployments and streamline operational changes. Participate in release management, change configuration, and cloud resource life cycle operations. Project Delivery & Skill Development Rotate into project-based delivery assignments to participate in cloud migration, modernisation, and optimisation engagements, building hands-on expertise and expanding knowledge of new services (including AI/ML/GenAI when relevant). Contribute to knowledge sharing and continually develop skillsets by collaborating with cloud architects, engineers, and product specialists. Collaboration & Continuous Improvement Work closely with service desk, SREs, developers, and security teams to resolve incidents, enhance reliability, and adopt best operational practices. Document technical solutions, create playbooks, and recommend process improvements to drive efficiency and standardisation. Promote a culture of automation, continuous learning, and operational excellence within the cloud team. What you need to succeed: Solid, hands-on experience supporting, configuring, and troubleshooting AWS and/or Azure environments in large-scale or MSP settings. Diligent and client-focussed mentality ensuring customer outcomes are maintained. Expertise in moving Windows Server workloads to AWS Workspaces or Azure AVD/Workspaces is advantageous. Proficiency in Infrastructure-as-Code (Terraform, CloudFormation, or equivalent), with a strong automation and Scripting background (Python, PowerShell, or Bash). Direct experience with cloud platform operations, monitoring, and incident response, including root cause analysis and problem management. Demonstrated ability to manage CI/CD tools, source control (Git), and modern DevOps workflows. Enthusiasm for collaborating with diverse technical teams and mentoring less-experienced team members. Strong communication skills, both written and verbal, for engaging with technical peers, customers, and non-technical stakeholders. AWS Associate certification required; willingness to achieve AWS Professional (DevOps or Solutions Architect). Azure certification or experience highly valued. Experience or demonstrated interest in supporting AI/ML/GenAI operations is a plus but not essential. At Lucid, we celebrate difference and value diverse perspectives, underpinned by our values of Honesty, Integrity, and Pragmatism. We welcome applications from all suitably qualified or experienced candidates, regardless of personal characteristics. If you have a disability or health condition and seek support throughout the recruitment process, please do not hesitate to contact us.
02/10/2025
Full time
Cloud DevOps Support Engineer Salary: £45-55k Hybrid- Cardiff/Bristol Join an industry-leading MSP and cloud consulting business at an exciting phase of growth. This is a fantastic opportunity to work with some of the top AWS and Azure partner talent in the sector, contributing to the management and evolution of high-scale operational environments. As a Cloud DevOps Support Engineer, this position is predominantly operational (80%), with opportunities for rotation into project delivery and solution development to further enhance technical skills and cloud expertise. You'll play a critical part in optimising and supporting our customers' AWS and Azure environments, leveraging your Infrastructure-as-Code (IaC) proficiency, automation skills, and passion for cloud technology. This role suits a coder by nature who enjoys troubleshooting complex technical problems in cloud-native and hybrid settings, ensuring the highest standards of reliability, efficiency, and innovation. The successful candidate will be directly involved in managing our customer cloud platforms for a diverse enterprise client base, acting both as a trusted technical expert and a collaborative team player. You'll work side-by-side within a cross functional squad supporting both day-to-day operational excellence and next-gen cloud adoption initiatives. AWS associate level certification is essential, with a commitment to achieve professional certification needed; AI/ML experience is advantageous but not mandatory. Key technologies you will need to support include Windows, networking, with a blend of cloud native- PaaS expertise across security, serverless and AI/ML. Now is a great time to join and contribute to our operational maturity journey, benefit from best-in-class mentoring, and accelerate your career as we scale to meet ambitious growth targets. What you'll be doing: Operational Cloud Support Providing technical support and troubleshooting of AWS and Azure environments for enterprise customers, including incident management, monitoring, backup, and disaster recovery. Implement and maintain robust monitoring, alerting, and reporting frameworks to ensure SLA adherence and proactive issue detection. Support upgrades, patches, and problem resolution across cloud platforms with an automation-first mindset. Supporting cost optimisation (FinOps) and security posture improvement across client deployments. Automation, IaC, and CI/CD Build, optimise, and manage Infrastructure-as-Code (IaC) templates and automation scripts-primarily using Terraform, CloudFormation, ARM/Azure Bicep, and related tools. Develop, maintain, and enhance CI/CD pipelines and GitOps workflows to accelerate cloud deployments and streamline operational changes. Participate in release management, change configuration, and cloud resource life cycle operations. Project Delivery & Skill Development Rotate into project-based delivery assignments to participate in cloud migration, modernisation, and optimisation engagements, building hands-on expertise and expanding knowledge of new services (including AI/ML/GenAI when relevant). Contribute to knowledge sharing and continually develop skillsets by collaborating with cloud architects, engineers, and product specialists. Collaboration & Continuous Improvement Work closely with service desk, SREs, developers, and security teams to resolve incidents, enhance reliability, and adopt best operational practices. Document technical solutions, create playbooks, and recommend process improvements to drive efficiency and standardisation. Promote a culture of automation, continuous learning, and operational excellence within the cloud team. What you need to succeed: Solid, hands-on experience supporting, configuring, and troubleshooting AWS and/or Azure environments in large-scale or MSP settings. Diligent and client-focussed mentality ensuring customer outcomes are maintained. Expertise in moving Windows Server workloads to AWS Workspaces or Azure AVD/Workspaces is advantageous. Proficiency in Infrastructure-as-Code (Terraform, CloudFormation, or equivalent), with a strong automation and Scripting background (Python, PowerShell, or Bash). Direct experience with cloud platform operations, monitoring, and incident response, including root cause analysis and problem management. Demonstrated ability to manage CI/CD tools, source control (Git), and modern DevOps workflows. Enthusiasm for collaborating with diverse technical teams and mentoring less-experienced team members. Strong communication skills, both written and verbal, for engaging with technical peers, customers, and non-technical stakeholders. AWS Associate certification required; willingness to achieve AWS Professional (DevOps or Solutions Architect). Azure certification or experience highly valued. Experience or demonstrated interest in supporting AI/ML/GenAI operations is a plus but not essential. At Lucid, we celebrate difference and value diverse perspectives, underpinned by our values of Honesty, Integrity, and Pragmatism. We welcome applications from all suitably qualified or experienced candidates, regardless of personal characteristics. If you have a disability or health condition and seek support throughout the recruitment process, please do not hesitate to contact us.
Full Stack AI Developer London Hybrid 6 month contract Inside IR35 via Umbrella Our Pharmacuetical client are looking for a skilled and motivated Developer to help shape the future of generative AI applications, with a strong focus on safety, usability, and technical excellence. This role blends cutting-edge AI/ML development with user research and full-stack integration, offering a unique opportunity to work at the intersection of innovation and impact. Key Responsibilities Define and implement safety metrics for generative AI systems, particularly language-based models. Conduct user research to identify risks, failure modes, and areas for improvement in AI applications. Integrate AI/ML components with Front End, Back End, data pipelines, and compute infrastructure. Develop high-quality software following best practices, including active participation in code reviews. Collaborate with engineers and data teams across functions to build robust, end-to-end data pipelines. Generate insights from GenAI datasets using machine learning and data analysis techniques. Qualifications Experience conducting user research in software development contexts. Solid understanding of generative AI and large language models. Proficiency in Python, including testing and development workflows. Familiarity with agile methodologies and working in agile development environments. Strong grasp of modern software development tools and practices (eg, Git/GitHub). Experience deploying AI/ML-powered applications, especially those involving NLP, language models, or agent-based frameworks (eg, LangGraph, PydanticAI, AutoGen). Background in user research specific to AI applications. Knowledge of AI/ML evaluation techniques, including safety and robustness assessments. Experience in web-based Front End development. If this role is of interest to you - please apply now with an up to date CV! Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
01/10/2025
Contractor
Full Stack AI Developer London Hybrid 6 month contract Inside IR35 via Umbrella Our Pharmacuetical client are looking for a skilled and motivated Developer to help shape the future of generative AI applications, with a strong focus on safety, usability, and technical excellence. This role blends cutting-edge AI/ML development with user research and full-stack integration, offering a unique opportunity to work at the intersection of innovation and impact. Key Responsibilities Define and implement safety metrics for generative AI systems, particularly language-based models. Conduct user research to identify risks, failure modes, and areas for improvement in AI applications. Integrate AI/ML components with Front End, Back End, data pipelines, and compute infrastructure. Develop high-quality software following best practices, including active participation in code reviews. Collaborate with engineers and data teams across functions to build robust, end-to-end data pipelines. Generate insights from GenAI datasets using machine learning and data analysis techniques. Qualifications Experience conducting user research in software development contexts. Solid understanding of generative AI and large language models. Proficiency in Python, including testing and development workflows. Familiarity with agile methodologies and working in agile development environments. Strong grasp of modern software development tools and practices (eg, Git/GitHub). Experience deploying AI/ML-powered applications, especially those involving NLP, language models, or agent-based frameworks (eg, LangGraph, PydanticAI, AutoGen). Background in user research specific to AI applications. Knowledge of AI/ML evaluation techniques, including safety and robustness assessments. Experience in web-based Front End development. If this role is of interest to you - please apply now with an up to date CV! Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
