South East London, London, United Kingdom Hybrid / WFH Options
ADLIB Recruitment
About Climate Policy Radar Climate Policy Radar is on a mission to organise, analyse, and democratise the worlds climate law and policy data. We build open databases and research tools so people can discover, understand, and generate data-driven insights more »
Remote - United Kingdom Role Overview: The Senior Manager will lead the development and deployment of cutting-edge machine learning (ML) and largelanguagemodel (LLM) solutions. These solutions will leverage structured and unstructured data to automate workflows and revolutionize service delivery. The role aims to transform the company into a … PyTorch, Kafka) to address specific business challenges. Collaborate with stakeholders (CTO, CEO, SVP of Legal Services, Product Management, Development teams) to integrate ML and LLM solutions into impactful projects. Ensure data security, privacy, and compliance with relevant regulations (e.g., GDPR, EU AI legislation). Oversee end-to-end development and … deployment of ML and LLM solutions. Establish best practices, standards, and processes for ML model development and production deployment. Develop performance metrics and KPIs aligned with business objectives. Essential Skills: Proven expertise in machine learning, deep learning, and natural language processing (NLP) techniques. Hands-on experience in building and deploying more »
of the founding team, entrusted with crafting an exceptional product experience for customers. Your primary focus lies in pioneering the forefront of agent based LLM applications. The business is assembling a dynamic team of versatile individuals. You'll provide considerable influence in all pivotal decisions: from prioritizing critical issues to more »
and reporting solutions using Power BI, Tableau, and front-end frameworks like React. Create engineering prototypes for new market rollouts and refactor/modularize LLMmodel code to fit into the GSK engineering frameworks. Run tests to assess KPI performance and troubleshoot and address problems with deployed models to improve more »
surrey, south east england, United Kingdom Hybrid / WFH Options
Hawksworth
in Guildford. They're looking for people that are comfortable with terms like; Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, LargeLanguage Models (LLM), NLP, AI, Machine Learning, MLOPs, Python, Pyspark, and Azure. Flexible Working : The role is 60% work from home Sponsorship : Sadly sponsorship isn't available for more »
greater manchester, north west england, United Kingdom
Mirai Talent
ML model to predict the likelihood of customer engagement following a specific operational action for a financial services business. Development and deployment of an LLM solution to recommend the appropriate course of action for an IT managed service business looking to reduce their time to resolution. Build of an optimised more »
the transition from our current guided selling engine to the new AI-powered product. Explore and implement cutting-edge techniques like reinforcement learning and LLM fine-tuning. Explore and implement methods for measuring the performance of products and gaining insights into performance metrics. Skills and experience A minimum of more »
london, south east england, United Kingdom Hybrid / WFH Options
NearTech Search
customer retention, engagement, and much more. The firm has some projects to automate in AI and then within 3-6 months will have massive LLM/NLP projects driving performance and campaign management. Key Responsibilities: Work with stakeholders within the business to understand the complexity and objectives of the team more »
edge London-based startup specializing in transforming how financial professionals access and utilise data is seeking an experienced AI Developer/MLOps Engineer with LLM experience to join their team. With a strong focus on AI-driven automation and analytics, this company is redefining financial intelligence, backed by top-tier more »
edge London-based startup specializing in transforming how financial professionals access and utilise data is seeking an experienced AI Developer/MLOps Engineer with LLM experience to join their team. With a strong focus on AI-driven automation and analytics, this company is redefining financial intelligence, backed by top-tier more »
processing (NLP) techniques and tools. Familiarity with largelanguage models (LLMs) such as GPT-3 or BERT, and experience with fine-tuning and deploying LLM-based applications is highly desirable. Experience working in a startup or fast-paced environment is a plus, with the ability to adapt to evolving priorities more »
processing (NLP) techniques and tools. Familiarity with largelanguage models (LLMs) such as GPT-3 or BERT, and experience with fine-tuning and deploying LLM-based applications is highly desirable. Experience working in a startup or fast-paced environment is a plus, with the ability to adapt to evolving priorities more »
Neural Network architectures and frameworks like Pytorch and TensorFlow Experience in languagemodel training and adaptation pipeline. Experience in lattice rescoring with RNN or LLM models Deep understanding of decoding algorithms; WFST based decoders is preferred Experience with Transformer based G2P models and training them for different languages Strong background more »
If you're a Data Scientist in the Financial Services with experience in..... Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, LargeLanguage Models (LLM), NLP, AI, Machine Learning, MLOPs Python, Pyspark, Azure, Agile, MetaBase, then please apply. You can 📧 your cv to matt@hawksworthuk.com or message me on LinkedIn. more »
experience you’ll need to apply: Bachelor’s or Master’s degree in Computer Science, AI, or related field, or equivalent experience. Experience creating LLM & RAG driven applications Proficiency in programming with tools like Python, TensorFlow, and PyTorch. ML deployment with services like Sagemaker, AzureML, VertexAI etc. A keen understanding more »
data science, data engineering, BI, machine learning and product management. Implement and deploy machine learning models at scale. An understanding of NLP Experience with LLM (LargeLanguage Models) Previous experience product-ionising ML models If successful you can expect... Salary up to £135,000 Equity/share scheme x3 Days more »
data science, data engineering, BI, machine learning and product management. Implement and deploy machine learning models at scale. An understanding of NLP Experience with LLM (LargeLanguage Models) Previous experience product-ionising ML models If successful you can expect... Salary up to £135,000 Equity/share scheme x3 Days more »
enthusiasm for creating and optimising digital media Quantitative degree from a top university The following is DESIRABLE, not essential: Candidates with previous experience with LLM models Commercial Experience with Tensorflow/Keras Developing cloud native systems An enthusiasm for data visualisation and dashboarding Benefits: Making a serious impact from day more »
We’re currently partnering with an AdTech company that are leveraging modern LLM and NLP techniques looking to add to their engineering team. Role: Mid-Level Python Engineer Salary: £45-£60k Location: Fully remote (UK) – occasionally meet-ups in London Company An AI/ML centric business, the company build more »
the job rather than being wedded to one stack and are always looking to the future, for example with Machine Learning capabilities (predictive analytics, LLM’s and traditional AI). The culture is relaxed and there’s no red tape. You will be given a large element of control in more »
backed start-up in AI safety is looking for a software engineer to spearhead the scaling of their fine-tuning and inference frameworks for LLM's. The Role: Build an automated fine-tuning framework that can scale to the next order of magnitude of training runs Explore novel synthetic data more »
Cambridge, England, United Kingdom Hybrid / WFH Options
Theia Insights
upon a foundation of academic and proprietary research and harness the latest developments in AI, machine learning, Natural Language Processing (NLP), LargeLanguage Models (LLM), and technologies built on advanced financial mathematics Your role: Keep the team organised by managing inboxes, calendars and key operational tasks Create cohesion between teams more »
cambridge, east anglia, United Kingdom Hybrid / WFH Options
Theia Insights
upon a foundation of academic and proprietary research and harness the latest developments in AI, machine learning, Natural Language Processing (NLP), LargeLanguage Models (LLM), and technologies built on advanced financial mathematics Your role: Keep the team organised by managing inboxes, calendars and key operational tasks Create cohesion between teams more »
that require large resources with high quality and low-latency SLAs. Why Join? AI/ML driven business Innovation is core to business success LLM/NLP space, hot topic Forge your career path, opportunity to follow leadership or senior IC positions Work with people from across Europe Create and … improve innovative products Responsibilities: Develop and optimize conversational AI models, focusing on largelanguage models (LLMs). Implement an advanced ML/LLM Ops workflow that concentrates on creating streamlined models for edge computing and improving software engineering productivity. Spearhead initiatives aimed at improving the performance of language models within … BERT, Embeddings, and similar technologies. Experience with cloud computing platforms such as AWS, Azure, or GCP (Google Cloud Platform). Demonstrable passion for developing LLM-powered products, evidenced by commercial experience or open-source projects. Experience deploying machine learning models in production environments. Preferred Qualifications: Experience developing solutions for embedded more »
ML Engineer – Founding team – LLM Startup – upto £200k Do you have experience with quantization techniques (e.g., PEFT, DeepSpeed, TensorRT) to optimize ML models? Have you ever managed or worked with a multi-node HPC cluster? Are you familiar with Deep Learning using PyTorch Library? Do you have experience with Kubernetes more »