Proven industry experience in AI and Large Language Models with a focus on generative models like GANs and transformers. Experience Working with Generative AI frameworks like GPT, Bard, LlaMA, Claude or others. Expertise in Agentic Approach (openAI Agent SDK, MCP Tools), Langchain. Expertise in prompt engineering. Experience with API Development: Experience in developing and integrating RESTful APIs to enable More ❯
Proven industry experience in AI and Large Language Models with a focus on generative models like GANs and transformers. Experience Working with Generative AI frameworks like GPT, Bard, LlaMA, Claude or others. Expertise in Agentic Approach (openAI Agent SDK, MCP Tools), Langchain. Expertise in prompt engineering. Experience with API Development: Experience in developing and integrating RESTful APIs to enable More ❯
Microsoft Azure and Microsoft Power Platform. AI Tools: Demonstrable ability to create custom GPT's and Chatbots using AI Tools (we use Google Gemini API (and Notebook LM), Anthropics Claude AI, Microsoft CoPilot, and OpenAI's Chat GPT). Demonstrate a keen interest in financial products Ability to manage user expectations and communication with stakeholders BSc Technical Degree, ideally More ❯
background in natural language processing, computer vision, or multimodal learning. - Ability to communicate technical concepts to both technical and non-technical audiences. - Experience with large language models, such as Claude, GPT, BERT, or T5. - Familiarity with reinforcement learning techniques and their applications in generative AI. - Understanding of ethical AI principles, bias mitigation techniques, and responsible AI practices. - Experience with More ❯
that utilise the bleeding-edge AI models. Products that are powered by the latest frontier models including OpenAI's GPT-4.1, o3 and o4-mini along with others from Anthropic and Google Gemini. This places us at the forefront of THE most advanced technological advancements of our generation We're spearheading an unprecedented shift in how the world's … English. You have proven experience delivering large, complex software engineering systems. It would also be nice if you have: Prior experience with LLMs (OpenAI's GPT-4o, o1, and Claude models from Anthropic) or agentic systems. Prior experience with data science/ML/NLP. Any Frontend experience. Proven expertise in building highly secure, fault-tolerant APIs. Experience More ❯
natural language processing, computer vision, or multimodal learning. - Ability to communicate technical concepts to both technical and non-technical audiences. PREFERRED QUALIFICATIONS - Experience with large language models, such as Claude, GPT, BERT, or T5. - Familiarity with reinforcement learning techniques and their applications in generative AI. - Understanding of ethical AI principles, bias mitigation techniques, and responsible AI practices. - Experience with More ❯
managed retirement of outdated systems-ensuring functionality is transitioned without disruption. GenAI Drive the end-to-end engineering of generative-AI solutions-designing, building and operationalising pipelines that harness Claude (via Databricks), Azure OpenAI Service and ChatGPT-while enforcing robust security, governance and monitoring to deliver scalable, business-value-driven outcomes. Integration Deliver integration of internal systems and external … individuals and teams and used to operating up and down a multi-tiered management structure Beneficial to have experience building agentic solutions using Azure Open AI services and or Anthropic Claude. Strong experience managing work requests using the Scrum framework and utilising Azure DevOps to facilitate that work. Proficient in programming languages and tooling as follows: NET Core/ More ❯
managed retirement of outdated systems-ensuring functionality is transitioned without disruption. GenAI Drive the end-to-end engineering of generative-AI solutions-designing, building and operationalising pipelines that harness Claude (via Databricks), Azure OpenAI Service and ChatGPT-while enforcing robust security, governance and monitoring to deliver scalable, business-value-driven outcomes. Integration Deliver integration of internal systems and external … individuals and teams and used to operating up and down a multi-tiered management structure Beneficial to have experience building agentic solutions using Azure Open AI services and or Anthropic Claude. Strong experience managing work requests using the Scrum framework and utilising Azure DevOps to facilitate that work. Proficient in programming languages and tooling as follows: NET Core/ More ❯
hedge funds, and fintech companies across The City, Canary Wharf, and beyond. 🎯 What You'll Build Core AI Platform Advanced LLM Integration: Deploy and fine-tune GPT-4/Claude models with financial domain expertise Real-time Market Intelligence: Process millions of data points per second from LSE, Bloomberg, and alternative data sources Autonomous AI Agents: Build intelligent agents More ❯
hedge funds, and fintech companies across The City, Canary Wharf, and beyond. 🎯 What You'll Build Core AI Platform Advanced LLM Integration: Deploy and fine-tune GPT-4/Claude models with financial domain expertise Real-time Market Intelligence: Process millions of data points per second from LSE, Bloomberg, and alternative data sources Autonomous AI Agents: Build intelligent agents More ❯
hedge funds, and fintech companies across The City, Canary Wharf, and beyond. What You'll Build Core AI Platform Advanced LLM Integration: Deploy and fine-tune GPT-4/Claude models with financial domain expertise Real-time Market Intelligence: Process millions of data points per second from LSE, Bloomberg, and alternative data sources Autonomous AI Agents: Build intelligent agents More ❯
Chantilly, Virginia, United States Hybrid / WFH Options
Gridiron IT Solutions
a related field. 3+ years of experience in AI/ML development, with a focus on NLP or generative models. Hands-on experience with LLMs such as OpenAI GPT, AnthropicClaude, Mistral, Cohere, or similar. Proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, or LangChain. Experience in fine-tuning, model evaluation More ❯
Proven leadership in agile environments, strong communication, mentoring abilities. LLM and RAG expertise: Building RAG architectures, integrating vector and graph databases. Transformer and LLM architectures: Experience with GPT-4, Claude, Gemini, Llama, Falcon, Mistral. Model performance and optimization: Fine-tuning and optimizing LLMs for quality, latency, sustainability, and cost. Programming and NLP tools: Advanced Python, frameworks like PyTorch, TensorFlow More ❯
of how these systems function under the hood and contribute to their development, scalability, reliability, and continuous improvement. AI Engineering: Build, test, and optimise generative AI features using OpenAI, Claude, Gemini, and fine-tuned custom models. Develop model evaluation pipelines and optimise model behaviour. Prompt Engineering: Craft, iterate, and test prompt strategies and templates to improve accuracy, robustness, and More ❯
Salary: 120-150K Key Responsibilities: • Design, develop, and deploy ML and AI models to solve real-world problems • Fine-tune and apply Large Language Models (e.g., GPT, LLaMA, Claude) for natural language processing, summarization, classification, and generation tasks • Analyze large, complex datasets to identify trends, patterns, and actionable insights • Collaborate with data engineers, software developers, and domain experts More ❯
features that thousands use daily Partner with external AI specialists on cutting-edge projects Transform research breakthroughs into scalable solutions Key Skills Required: LLM Experience : Production experience with GPT, Claude, LLaMA, including fine-tuning, prompt engineering, and deployment Python Proficiency : Strong skills with ML frameworks (TensorFlow, PyTorch) and LLM tools (Hugging Face, LangChain, OpenAI APIs) Vector Understanding : Solid knowledge More ❯
Proven experience in an analytics, data ops or technical operations role (internships count). Technical toolkit: experience with Python or TypeScript skills; experience calling any GenAI model (OpenAI, Gemini, Claude, or OSS) and automating workflows in tools such as n8n, Zapier or Retool. Analytical mindset: SQL skills, basic statistics and an eye for commercial KPIs. Portfolio of curiosity: side More ❯
Software Engineer, Inference Scalability and Capability London, UK About AnthropicAnthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to … we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather … communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is More ❯
scratch, including training the models and deploying. In addition to this you will have experience developing LLM applications using some of the more recent LLMs such as GPT, Llama, Claude, Gemini, Qwen and Mistral models, developed RAG pipelines and architecture, orchestrated workflows using LangChain/LangGraph/LlamaIndex etc. This role is ideal for someone with.... 2 years of … NLP models Experience deploying AI models on cloud (Azure preferred) 1 years’ experience in applying NLP/LLM to legal documents 1 year experience in developing LLM applications (META, Anthropic, Google, OpenAI etc) Experience with the Azure stack (AI Foundry, Copilot Studio etc) would be beneficial Any experience of Agentic AI or Multi Agent Framework would be a bonus More ❯
scratch, including training the models and deploying. In addition to this you will have experience developing LLM applications using some of the more recent LLMs such as GPT, Llama, Claude, Gemini, Qwen and Mistral models, developed RAG pipelines and architecture, orchestrated workflows using LangChain/LangGraph/LlamaIndex etc. This role is ideal for someone with.... 2 years of … NLP models Experience deploying AI models on cloud (Azure preferred) 1 years’ experience in applying NLP/LLM to legal documents 1 year experience in developing LLM applications (META, Anthropic, Google, OpenAI etc) Experience with the Azure stack (AI Foundry, Copilot Studio etc) would be beneficial Any experience of Agentic AI or Multi Agent Framework would be a bonus More ❯
Scalable backend services and internal APIs to support data-heavy processes Realtime interfaces using modern frontend frameworks (HTMX/Turbo/Alpine or similar) Integrations with LLMs (e.g., OpenAI, Claude) to optimise and automate user workflows Developer tooling and infrastructure to support continuous deployment and high availability Tech Stack Overview (this isn’t a list of all the things … giving you a good overview of what is on offer) Backend: Ruby on Rails, PostgreSQL, Sidekiq, Redis, AWS Frontend: Turbo/Hotwire, Phlex, AlpineJS, TailwindCSS AI/LLM: OpenAI, Claude, LangChain (or equivalents) Infra: Docker, Terraform, GitHub Actions, CloudWatch What You’ll Do Write clean, well-tested code across the stack with a product-focused mindset Own feature development More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Block MB
Scalable backend services and internal APIs to support data-heavy processes Realtime interfaces using modern frontend frameworks (HTMX/Turbo/Alpine or similar) Integrations with LLMs (e.g., OpenAI, Claude) to optimise and automate user workflows Developer tooling and infrastructure to support continuous deployment and high availability Tech Stack Overview (this isn’t a list of all the things … giving you a good overview of what is on offer) Backend: Ruby on Rails, PostgreSQL, Sidekiq, Redis, AWS Frontend: Turbo/Hotwire, Phlex, AlpineJS, TailwindCSS AI/LLM: OpenAI, Claude, LangChain (or equivalents) Infra: Docker, Terraform, GitHub Actions, CloudWatch What You’ll Do Write clean, well-tested code across the stack with a product-focused mindset Own feature development More ❯
South East London, England, United Kingdom Hybrid / WFH Options
Block MB
Scalable backend services and internal APIs to support data-heavy processes Realtime interfaces using modern frontend frameworks (HTMX/Turbo/Alpine or similar) Integrations with LLMs (e.g., OpenAI, Claude) to optimise and automate user workflows Developer tooling and infrastructure to support continuous deployment and high availability Tech Stack Overview (this isn’t a list of all the things … giving you a good overview of what is on offer) Backend: Ruby on Rails, PostgreSQL, Sidekiq, Redis, AWS Frontend: Turbo/Hotwire, Phlex, AlpineJS, TailwindCSS AI/LLM: OpenAI, Claude, LangChain (or equivalents) Infra: Docker, Terraform, GitHub Actions, CloudWatch What You’ll Do Write clean, well-tested code across the stack with a product-focused mindset Own feature development More ❯
to leverage modern tools that can transform their workflows without requiring dedicated engineering resources. We're looking for someone with practical experience applying GenAI tools (like ChatGPT, Glean, Gemini, Claude) to real business problems, who can guide non-technical stakeholders through meaningful AI adoption. Your Experience Qualifications: 1-2 years of hands-on experience using GenAI tools in business … contexts Working knowledge of major LLMs (e.g., GPT, Claude, Gemini) and their practical differences, limitations, and ideal use cases Experience working with business teams to implement technology solutions Strong understanding of modern AI capabilities, particularly in business applications Demonstrated ability to simplify complex technical concepts for non-technical audiences Experience with workflow automation, data analysis tools, and AI platforms … liaison between business units and the IT department Advise departments on best-fit commercial AI models based on use case, highlighting strengths and weaknesses of tools like GPT-4, Claude, Glean, Gemini, etc. Support teams in prompt engineering and GenAI application design to automate tasks, reduce manual work, and improve productivity Champion the use of GenAI tools by sharing More ❯
