Graduate AI and Machine Learning Engineer
Role details
Job location
Tech stack
Job description
Pemberton delivers leading alternative credit strategies for investors and borrowers. We are relentless in finding opportunities for our investors and building more open and transparent relationships with all our partners. We combine rigorous credit analysis and local market expertise with a focus on sustainability. We primarily invest in high-quality businesses, often with market-leading positions across defensive industries in Europe. We support businesses backed by leading private equity sponsors and ambitious entrepreneurs. Our partnership approach provides long-term capital for buyouts, growth financing, add-on acquisitions and other general corporate purposes. Our network is made of 12 locations across Europe (London, Luxembourg, Frankfurt, Munich, Paris, Milan, Amsterdam, Copenhagen, and Madrid), the US and Middle East, and 150+ professionals dedicated to private markets. About the Role The AI Engineer, Analyst will serve as a critical bridge between technology and business, A data analytics firm is seeking a QA Technician with expertise in geospatial analysis for a full-time, 3-month contract in Greater London. The role involves analyzing optical, SAR, and hyperspectral imagery to ensure high data quality for AI/ML models. Candidates should..., An international renewable energy producer is seeking a Transformation Governance Analyst based in London. This role involves supporting enterprise portfolio governance through frameworks and reporting. The ideal candidate will have strong analytical skills, experience with...
Requirements
developing Python-based AI solutions that directly address business challenges across portfolio management, origination teams and other business functions. We are seeking an AI SWE who has experience with LLMs, deep learning, reinforcement learning as well as an interest and ability to keep up with advancements in AI. The candidate should also be strong in software development/engineering and be comfortable with AI experimentation and productionisation. Responsibilities Design, build, and deploy Python or C# based AI and applications that solve specific business problems in central functions. Develop and fine-tune LLM-based solutions (e.g. RAG, prompt engineering, embeddings, vector search). Contribute to the firm's core AI solutions, ensuring scalability and production readiness. Move AI concepts from research and experimentation through to production deployment, with focus on training and inference infrastructure. Implement models using modern frameworks (PyTorch, TensorFlow, JAX) with emphasis on production-grade code. Monitor and optimise model performance, maintaining organised research codebases that produce robust, reproducible results. Actively monitor latest developments in applied AI to identify and propose novel solutions for business challenges. Partner with stakeholders to understand business requirements and translate them into technical solutions. Communicate model behaviour, limitations, and risks clearly to non-technical stakeholders. Provide consultation on AI capabilities and best practices across the organisation. Contribute to AI governance, security, and responsible AI practices. Qualifications Bachelors or Master's degree in Computer Science or related field. Strong academic background. Required Skills Proficiency in Python, SQL and C#. Experience with model development and deployment. Experience with Generative AI / LLMs (Azure OpenAI, OpenAI, Anthropic, Claude, etc.). Preferred Skills Working knowledge of Python with experience building production applications and services. Working knowledge of database technologies such as MS SQL. Demonstrable enthusiasm and practical understanding of various modeling approaches (neural networks, gradient-boosted trees, ensemble methods). Ability to understand and optimise end-to-end systems, from data ingestion through model training to production inference. Keenly analytic approach to problem solving with ability to break down complex problems. Confident communicator able to argue points concisely and deal positively with conflicting views. Able to establish and maintain close working relationships with stakeholders. Great communication skills with ability to work effectively with both technical and non-technical colleagues. Comfortable working across organisational boundaries to drive adoption and impact. Ability to effectively manage time across multiple projects with competing demands and priorities. Passion for keeping up with state-of-the-art developments, whether through academic papers, experimenting with new tools, or exploring emerging techniques. Hands-on attitude with willingness to get involved across different projects and technologies. Relentless focus on delivering business value and continuous process improvement. Adaptable and willing to work in a start-up-like environment within a major institution.#J-18808-Ljbffr Similar jobs, Job title: AI Design Analyst (AI Foundry)Location- YBS Leeds and Bradford (3 days week onsite)Role descriptionWe are looking for an experienced AI Design Analyst (AI Foundry) with Function Data & AI 10+ years of experience to take end-to-end ownership.Key responsibilities:...
Benefits & conditions
Group AI Training & Engagement AnalystContract: Permanent If you would like to know a bit more about this opportunity, or are considering applying, then please read the following job information.Location: Sheffield - Onsite 3 days per weekSalary: £50,000 - £70,000Work..., £45,000 - £50,000
Shape the Future of AI Innovation Move beyond delivery work into structured R&D where your technical insights directly influence strategic technology decisions. You'll explore cutting-edge AI and automation technologies, build evidence-based recommendations, and help...