Overview A leading HR consultancy has recently launched a strategic focus on AI and its impact on HR. As part of this initiative, they are hiring a Project Manager to drive both client-facing advisory work and internal capability development. More ❯
About Entourage: We're building the infrastructure layer that will power the next generation of AI agents: collective intelligence. Entourage is a shared memory protocol that lets AI agents learn from each other's discoveries, building collective intelligence that gets More ❯
Innovative Tech firm developing unique LLM applications are hiring a Deep Learning Scientist. The nature of your work will focus around autonomous agent development & interactions at scale. Experience Required : Python, with a solid software design experience. Deep knowledge of machine learning, deep learning methodologies & transformers Conversational AI technologies, like natural language understanding/generation, dialog systems, machine translation, and information … retrieval. Experience of developing information retrieval systems, Fine Tuning for RAG & Direct Preference optimisation Experience of ML Ops environments & platforms The more experience you have of adapting LLM's for different domains the better (although this isn't a must have) so someone who has worked in a consulting environment working across domains might be relevant. If this sounds like More ❯
hire a Senior AI Scientist into their AI Research team, focusing on LLMs, RAGs, Agent-based systems and multimodal AI. Responsibilities: Lead the technical design and implementation of sophisticated LLM-based systems, including RAG, agent-based architectures, and multimodal AI solutions. Oversee the lifecycle of LLM projects, from model pre-training and fine-tuning to evaluation and deployment, ensuring alignment … with advanced use cases. Conduct in-depth research into emerging LLM technologies, staying at the forefront of advancements in the field. Design and execute prompt engineering strategies for optimal LLM performance and usability. Collaborate with cross-functional teams and domain experts to ensure technical excellence and application relevance. Analyse model performance, identify improvement opportunities, and contribute to the development of … industry-leading LLM practices. Requirements: 5+ years of experience in AI/ML Exp. developing, fine-tuning, and deploying LLMs. Solving algo problems from end-to-end Exp. preparing data, then training models on GPUs Proficient in advanced methodologies like RAG and agent systems, keeping up to date with latest tech, papers, and understanding the theory behind advanced models. Expertise More ❯
hire a Senior AI Scientist into their AI Research team, focusing on LLMs, RAGs, Agent-based systems and multimodal AI. Responsibilities: Lead the technical design and implementation of sophisticated LLM-based systems, including RAG, agent-based architectures, and multimodal AI solutions. Oversee the lifecycle of LLM projects, from model pre-training and fine-tuning to evaluation and deployment, ensuring alignment … with advanced use cases. Conduct in-depth research into emerging LLM technologies, staying at the forefront of advancements in the field. Design and execute prompt engineering strategies for optimal LLM performance and usability. Collaborate with cross-functional teams and domain experts to ensure technical excellence and application relevance. Analyse model performance, identify improvement opportunities, and contribute to the development of … industry-leading LLM practices. Requirements: 5+ years of experience in AI/ML Exp. developing, fine-tuning, and deploying LLMs. Solving algo problems from end-to-end Exp. preparing data, then training models on GPUs Proficient in advanced methodologies like RAG and agent systems, keeping up to date with latest tech, papers, and understanding the theory behind advanced models. Expertise More ❯
hire a Senior AI Scientist into their AI Research team, focusing on LLMs, RAGs, Agent-based systems and multimodal AI. Responsibilities: Lead the technical design and implementation of sophisticated LLM-based systems, including RAG, agent-based architectures, and multimodal AI solutions. Oversee the lifecycle of LLM projects, from model pre-training and fine-tuning to evaluation and deployment, ensuring alignment … with advanced use cases. Conduct in-depth research into emerging LLM technologies, staying at the forefront of advancements in the field. Design and execute prompt engineering strategies for optimal LLM performance and usability. Collaborate with cross-functional teams and domain experts to ensure technical excellence and application relevance. Analyse model performance, identify improvement opportunities, and contribute to the development of … industry-leading LLM practices. Requirements: 5+ years of experience in AI/ML Exp. developing, fine-tuning, and deploying LLMs. Solving algo problems from end-to-end Exp. preparing data, then training models on GPUs Proficient in advanced methodologies like RAG and agent systems, keeping up to date with latest tech, papers, and understanding the theory behind advanced models. Expertise More ❯
london (city of london), south east england, united kingdom
Durlston Partners
hire a Senior AI Scientist into their AI Research team, focusing on LLMs, RAGs, Agent-based systems and multimodal AI. Responsibilities: Lead the technical design and implementation of sophisticated LLM-based systems, including RAG, agent-based architectures, and multimodal AI solutions. Oversee the lifecycle of LLM projects, from model pre-training and fine-tuning to evaluation and deployment, ensuring alignment … with advanced use cases. Conduct in-depth research into emerging LLM technologies, staying at the forefront of advancements in the field. Design and execute prompt engineering strategies for optimal LLM performance and usability. Collaborate with cross-functional teams and domain experts to ensure technical excellence and application relevance. Analyse model performance, identify improvement opportunities, and contribute to the development of … industry-leading LLM practices. Requirements: 5+ years of experience in AI/ML Exp. developing, fine-tuning, and deploying LLMs. Solving algo problems from end-to-end Exp. preparing data, then training models on GPUs Proficient in advanced methodologies like RAG and agent systems, keeping up to date with latest tech, papers, and understanding the theory behind advanced models. Expertise More ❯
Location: London, UK Description We are looking for a Developer to join our small, dynamic team developing cutting-edge football data acquisition and analysis systems. We are leveraging frontier LLM systems to generate high-value structured data in real time, from diverse data sources, including social media. This is an opportunity to work on challenging technical problems in a collaborative … Cloud & Infrastructure : Hands-on experience with Google Cloud Platform (GCP) and Docker containerization API Development : Experience building and integrating with RESTful APIs, particularly for real-time applications AI/LLM integration: Experience with design and delivery of analytics pipelines which include LLM elements for conversion of unstructured to structured data: familiarity with prompt engineering in this domain with OpenAIand/ More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Atrium Workforce Solutions Ltd
Months Initial – Inside IR35 PAYE We are seeking an experienced AI Llama Engineering Research Assistant with 2+ years of experience prototyping and testing AI agents and/or LLM models. Role Overview: Job Title: AI Llama Engineering Research Assistant Location: London/Hybrid Contract Type: Contract Duration: 3 months initially, extension likely Responsibilities: Create test prompts for AI agent. Experiment … hands-on experience with AI agent frameworks such as Model Context Protocol. LangChain. Exposure to architectural patterns of large scale software applications. Preferred: Direct experience in generative AI and LLM research. Please feel free to contact myself – Daisy Nguyen at Gibbs Consulting/Atrium UK for a confidential chat to know more details about the role. Please also note: Due More ❯
observability, and run a reliable model release process. Work with Science to ship measurable improvements to quality, latency, safety, and reliability What you will do • Build and maintain an LLM evaluation framework (reference tests, heuristics, model-graded checks). • Define and track metrics: task success, helpfulness, hallucination proxies, safety flags, latency/cost. • Run A/B tests for prompts … models, and system prompts, analyze results, recommend rollout or rollback. • Set up observability for LLM calls: structured logging, tracing, dashboards, alerts. • Operate the model release: canary and shadow traffic, sign-offs, SLO-based rollback criteria, regression detection. • Improve core behaviors: memory write/retrieve policies and evals, intent classification, follow-ups, routing, tool-call reliability. • Create templates and docs so … other teams can author evals and ship safely. • Partner with Science, diagnose regressions and lead post-mortems. About you • Strong TypeScript or Python skills • Production LLM experience: prompts, tool/function calling, and system prompts. • Hands-on with evals and A/B testing, you can design metrics and make rollout decisions from data. • Observability: logging, tracing, dashboards, alerting • Product More ❯
Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. More ❯
At UnlikelyAI, we're looking for a visionary Staff Applied Scientist to play a key leadership role in our Applied Science team and across the company. This is a high-impact individual contributor position with mentoring and coaching responsibilities - ideal More ❯
Description The client is trying to automate the process of creating a knowledge graph, which involves consolidating information from thousands of tables. They want to explore using GNAI (Generative Natural Language AI) to accelerate this process, as the current manual More ❯
software engineering, especially within a SAAS environment, preferably with experience in Ruby on Rails, ReactJS and TypeScript, generative AI, ElasticSearch/OpenSearch, GraphQL Practical experience with GenAI and running LLM models in production Proven experience leading and delivering cross-functional projects from start to finish Strong track record of individual contributions to business goals Preferred Qualifications In-depth understanding of … LLM models Compensation Band £90K - £110K • Offers Equity # LI-Remote Job Benefits: Health (medical, vision, dental), life, and disability insurance Equity stock options Retirement plans Paid public holidays and unlimited PTO Paid maternity and parental leave Leaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act) Employee Assistance Program Flexible Work Stipend Eligibility More ❯
LEAD DATA SCIENTIST - Insurance HYBRID - London £80,000 - £100,000 We are working with a household name in the UK insurance space on the search for a Lead Data Scientist. They are looking for someone to help spearhead their Machine More ❯
LEAD DATA SCIENTIST - Insurance HYBRID - London £80,000 - £100,000 We are working with a household name in the UK insurance space on the search for a Lead Data Scientist. They are looking for someone to help spearhead their Machine More ❯
About us: We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated More ❯
Senior Applied AI Solution Engineer £100,000-£130,000 + Benefits Depending on Experience London with Flexible Working (Edinburgh/Glasgow Locations also available) Are you passionate about building cutting-edge AI solutions that drive real business impact? Do you More ❯
Senior Applied AI Solution Engineer £100,000-£130,000 + Benefits Depending on Experience London with Flexible Working (Edinburgh/Glasgow Locations also available) Are you passionate about building cutting-edge AI solutions that drive real business impact? Do you More ❯
Senior Applied AI Solution Engineer £100,000-£130,000 + Benefits Depending on Experience London with Flexible Working (Edinburgh/Glasgow Locations also available) Are you passionate about building cutting-edge AI solutions that drive real business impact? Do you More ❯
london (city of london), south east england, united kingdom
MBN Solutions
Senior Applied AI Solution Engineer £100,000-£130,000 + Benefits Depending on Experience London with Flexible Working (Edinburgh/Glasgow Locations also available) Are you passionate about building cutting-edge AI solutions that drive real business impact? Do you More ❯
Looking for a mathematical software engineer role at a growing company that's starting their adoption of machine learning technology? This company creates mathematical tools for solving numerical optimisation problems for logistics and trading. Their unique software toolkit is relied More ❯
Perplexity AI is looking for an experienced Android Mobile Engineer to join our small team revolutionizing the way people search and interact with the internet. You will be responsible for building and expanding the Perplexity Android app. The ideal candidate More ❯
Look at the latest headlines and you will see something Ki insures. Think space shuttles, world tours, wind farms, and even footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google More ❯
Look at the latest headlines and you will see something Ki insures. Think space shuttles, world tours, wind farms, and even footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google More ❯