NLP PEOPLE

Forge Holiday Group is seeking a Senior AI/ML Engineer to design and deploy scalable AI solutions at their Chester HQ. The role involves building end-to-end AI/ML pipelines and collaborating with cross-functional teams. Applicants should have a strong background in data pipeline architecture and proficiency with tools like Microsoft Fabric and Azure ML. The position offers a salary of up to £80,000, hybrid working, and benefits including annual bonus scheme and health cash plan.

About The Company At Cleo, we're not just building another fintech app. We're embarking on a mission to fundamentally change humanity's relationship with money. Imagine a world where everyone, regardless of background or income, has access to a hyper intelligent financial advisor in their pocket. That's the future we're creating. Cleo is a rare success story: a profitable, fast growing unicorn with over $300 million in ARR and growing over 2 year over year. This isn't just a job; it's a chance to join a team of brilliant, driven individuals who are passionate about making a real difference. We have an exceptionally high bar for talent, seeking individuals who are not only at the top of their field but also embody our culture of collaboration and positive impact. If you're driven by complex challenges that push your expertise, the chance to shape something truly transformative, and the potential to share in Cleo's success as we scale, while growing alongside a company that's scaling fast, this might be your perfect fit. Follow us on LinkedIn to keep up to date with new product features and insights from the team. About The Role Senior Machine Learning Engineers at Cleo work on building novel solutions to real world problems. This could involve creating chatbots that coach our users around their financial health, building classifiers to better understand transaction data, or optimizing transactions within our payments platform. Ultimately, we're looking for a brilliant senior machine learning engineer to join us on our mission to fight for the world's financial health. You'll lead technical work within a team of adaptable, creative, and product focused engineers, train and integrate cutting edge machine learning across a variety of products, and deploy them into production for millions of users. What You'll Be Doing Training and fine tuning models to solve customer problems. Deploying these models into our production environments using our in house ML platform. Integrating with large language models hosted by OpenAI, Anthropic, GCP, AWS, and others. Working cross functionally with backend engineers, data analysts, UX writers, product managers, annotation teams, and others to ship features that improve our users' financial health. Taking the initiative to propose and lead technical work toward problems that were previously unknown or poorly understood. Driving change at the chapter level that affects multiple squads. Mentoring and advising colleagues on model choice, architecture, and evaluation, and promoting best practices for how we use LLMs. Developed deeper understanding of users' finances through models extracting meaning from transaction data. Developed contextual intent classifiers to understand conversations users have with Cleo. Built ML models to present user actions in a contextual way within conversations. Built ML models to assess risk of customers using bank transaction features and user activity. Built models to optimize payment success for our customers and optimize business costs. What You'll Need Excellent knowledge of both data science (Python, SQL) and production tools. Deep understanding of probability and statistics fundamentals. Big picture thinking to diagnose problems and operationalize research. Top tier communication skills to partner with product and commercial leaders. Industry leading contributions to your field communicated through conferences, blogs, talks, or open source projects. Advanced degree in a quantitative discipline or equivalent commercial experience. Nice to have: Strong experience with additional programming languages such as Java, Scala, or C++. Recruitment Process Interview with a recruiter (30 minutes). Interview with the hiring manager (30 minutes). Python coding interview (45 minutes). White boarding session (60 minutes). Technical discussion (45 minutes). Company Cleo

NLP PEOPLE is hiring a Senior Machine Learning Engineer to drive innovative solutions in financial health. You will be responsible for training models, deploying them in production, and collaborating across teams to enhance user experiences. The ideal candidate will possess excellent skills in data science, probability, and statistics, along with the ability to communicate effectively. Join a fast-growing fintech and make a meaningful impact on users' financial well-being in the UK.

Shape the Future of AI at Forge Holiday Group At Forge Holiday Group, we don't just do holidays, we create memories. With market-leading brands like Sykes Holiday Cottages, Forest Holidays, and Bachcare in New Zealand, we're 1,700+ strong and powered by four values: One Business One Team, Keep it Simple, Grow & Learn, Sustainable Impact. Why This Role Stands Out Innovation: Work hands on with cutting edge AI/ML tools and techniques to deliver real business impact. Leadership: Mentor and collaborate with talented engineers, data scientists, and product teams. Culture: People first, values driven, creativity & integrity at the core. Impact: Shape AI driven solutions that directly improve customer experience and business decisions. About the Role As a Senior AI/ML Engineer, you'll play a pivotal role in designing, building, and deploying scalable AI and machine learning solutions across Forge Holiday Group. From data pipelines to machine learning models, your work will power customer interactions, internal insights, and commercial decision making. You'll Own Build and maintain end to end AI/ML pipelines in Microsoft Fabric. Design, train, deploy and monitor machine learning and deep learning models. Implement MLOps best practices: versioned data & features, CI/CD pipelines, model promotion, and rollback. Collaborate with data scientists, analytics engineers, product managers, and developers to turn business problems into AI solutions. Uphold data quality, governance, security, and responsible AI practices. Evaluate and adopt new tools and technologies to enhance our AI/ML platform. Mentor junior colleagues and foster a culture of innovation and knowledge sharing. What You Need To Know Salary: Up to £80,000 per annum. Team: Work with cross functional teams and mentor junior engineers. Tools: Microsoft Fabric, Azure ML, MLflow, Spark, Python, SQL, CI/CD, and ML frameworks like TensorFlow, PyTorch, Scikit learn. Scope: End to end AI/ML solutions for multi product, multi region strategy. Report To: Head of Data Science / CTO. Location: Chester HQ, Hybrid working. Working Pattern: 37.5 hours, Monday to Friday, 9am to 5:30pm. What We're Looking For Essential Strong experience designing, building and maintaining scalable data pipelines and architectures for AI/ML. Familiarity with Microsoft Fabric (Data Engineering, Data Science, Real Time Analytics) and Azure ML, including MLflow. Proficiency with tools such as Apache Spark, Azure Data Factory, GIT, Python and SQL. Skilled in developing, training and deploying machine learning models with frameworks like TensorFlow, PyTorch or Scikit learn. Strong understanding of data modelling, data governance, security and responsible AI practices. Excellent problem solving skills and the ability to explain technical concepts to varied audiences. Ability to manage priorities and deliver results in a fast paced environment. Desirable Experience with generative AI, large language models (e.g. LangChain, vector databases) and retrieval augmented generation. Knowledge of AutoML, hyperparameter tuning and advanced MLflow features. Experience with streaming and real time data platforms. Familiarity with CI/CD, MLOps and deployment pipelines (Azure DevOps, GitHub Actions, Docker). Commercial awareness in e commerce, travel or holiday lettings sectors. Experience mentoring others or leading technical workstreams. About You Curious, innovative and passionate about data and AI. A team player who values collaboration and honest communication. Able to take ownership, work independently and deliver on commitments. Supportive and approachable, with a willingness to share knowledge. Committed to building ethical AI solutions that respect privacy, security and sustainability. Forge Holiday Group Benefits Annual STIP Company wide Bonus Scheme offering up to an additional 10% of your salary through our performance based bonus program. 33 days' holiday (including bank holidays), plus up to 5 extra with long service. Option to purchase extra holiday days if you wish. A day off for your birthday. 2 volunteering days per year. Enhanced parental leave (24 weeks maternity, 3 weeks paternity at full pay). Pension scheme with employer contributions. Discounted and last minute stays at Forest Holidays and Sykes Cottages for you, your friends & family. Special offers and discounts designed to enhance your overall wellbeing. Health cash plan & life assurance. Training & development opportunities. 24/7 mental health support. On site gym and parking at Chester HQ (near train station). Employee savings scheme. Long service awards and company events. We're committed to diversity and inclusion and encourage you to bring your authentic self. Need adjustments for recruitment? Just ask. Ready to build intelligent AI solutions that drive real impact? Apply now or share with someone exceptional. Forge Holiday Group Ltd Senior (5+ years of experience)

JPMAM Data Science is dedicated to enhancing and streamlining every stage of the investment process, from financial analysis and portfolio management to client services and advisory. We analyse extensive collections of data including financial documents, analyst reports, news articles, meeting notes, and client communications to empower data driven decision making and process automation. We are seeking passionate data scientists who can apply the latest methodologies to generate real time and actionable insights. The candidate must excel in working in a highly collaborative environment together with the business stakeholders, technologists, and control partners to deploy solutions into production. A strong passion for machine learning is essential, along with a commitment to continuous learning, research, and experimentation with new innovations in the field. Candidates should possess a solid understanding of modern NLP and/or financial knowledge, hands on implementation experience, strong analytical thinking, and a keen interest in applying advanced analytics to solve complex problems in finance and asset management. Job Responsibilities Design and implement advanced techniques such as semantic search, retrieval augmented generation (RAG), named entity recognition (NER), prompt engineering, and personalization for content extraction, search, question answering, reasoning, and recommendation. Develop LLM, NLP, and ML solutions that address client requirements and drive business transformation. Work closely with partner teams-including Business, Technology, Product Management, Strategy, and Business Management-to deploy and scale developed models in production environments. Build comprehensive testing setups to evaluate model performance and ensure efficacy and reliability. Communicate results effectively to business stakeholders through written reports, visualizations, and presentations. Stay current with the latest research in LLM, ML, and data science, and proactively identify and leverage emerging techniques to drive ongoing enhancement. Senior level (5+ years of experience). Required Qualifications, Capabilities, and Skills Advanced degree in Data Science, Computer Science, or Machine Learning. Proven experience applying NLP, LLM, and ML techniques to solve high impact business problems. Proficiency in programming languages such as Python and familiarity with machine learning libraries and frameworks. Excellent communication skills and ability to work collaboratively in a fast paced, dynamic environment. Strong analytical skills with an understanding of financial markets and asset management.

To accelerate AI adoption and maximize the efficiency of our internal processes across our engineering teams, we are seeking a Senior Machine Learning Engineer who combines deep expertise in LLMs, MLOps, and agentic AI with the credibility and communication skills to drive change across a multi-domain, distributed engineering organisation. Senior Machine Learning Engineer (all genders welcome) - AI platform and developer tools Rosenxt is a technology group creating innovative solutions for critical infrastructure in harsh environments. Our Software and AI organization spans teams across the world working on everything from data pipelines to autonomous navigation, to customer portals. We are investing in AI assisted development, shared ML infrastructure, and developer tooling as force multipliers for our engineering teams. This role will build and maintain those shared capabilities, the platforms, standards, and tools that let teams across Rosenxt move faster without solving the same problems independently. This is a hands on technical role, but also suits someone able to earn trust through demonstrated expertise, bring people along through clear communication, and navigate the organisational complexity of rolling out new tools and practices across distributed teams with different tech stacks and priorities. Your first major project will be leading the technical implementation of an AI assisted development initiative. Tasks may be evaluating and configuring our AI tool stack, building the retrieval and context systems that make those tools useful for our codebase, and instrumenting the metrics that prove the value. Responsibilities Evaluate, configure, and maintain the AI development tool stack (GitHub Copilot, custom agents, local LLMs). Standardise how AI agents interact and integrate with our internal tools, services, and development workflows with MCP. Build retrieval augmented generation systems over Rosenxt's internal documentation. Define and implement productivity and quality metrics. Run controlled pilots, measure impact, and use data to drive adoption decisions. Ensure AI assisted development tools and ML systems comply with internal governance frameworks and regulation including the EU AI Act. Work within established security and IP protection practices. Build and maintain reusable CI/CD templates for ML pipelines. Develop and maintain reusable system prompts for common engineering tasks and complex technical domains. Run training sessions, document best practices, and build the internal knowledge base that raises the AI capability of the whole organization. Qualifications Several years of leadership as Technical Lead or Engineering Manager in ML; 5+ years of ML engineering experience. Proven track record designing, building, and operating scalable production ML systems and software platforms with measurable business impact. Experience building platform and infrastructure tools for other engineering teams and defining development processes and workflows. Excellent Python skills, hands on cloud experience (Azure/AWS/GCP), and strong MLOps practice (CI/CD for ML, versioning, monitoring, automation). Deep understanding of modern LLM architectures (transformers, attention) and extensive production experience with foundation and embedding models. Proficiency with agentic frameworks, multi agent system design, and advanced prompt engineering. Excellent communication skills to convey complex technical topics clearly to diverse stakeholders. Strong influence through expertise, ability to lead without formal authority, and collaborative mindset in complex organizations. High autonomy and comfort with ambiguity, combined with a servant leadership mindset focused on enabling other engineers. Resilient, pragmatic approach with evidence based iteration in emerging technology areas. Work Environment Development opportunities and career growth in a global, innovative and long term oriented group of companies with a family character. Flexible working time, working time accounts, and home office possible. An open, informal corporate culture with social events. Local benefits may be available depending on the hiring location. Company: Rosenxt Creation Center GmbH

A leading travel technology provider in the United Kingdom is looking for a Machine Learning Engineer II to join their Product AI Engineering team. This role involves designing and optimizing intelligent systems using AI techniques. The ideal candidate will have a strong coding background in Python, experience with machine learning libraries, and the ability to solve complex business problems through data science. This position offers flexible benefits and opportunities for professional development. Company: American Express Global Business Travel Qualifications: Senior (5+ years of experience) Tagged as: Industry, Machine Learning, NLP, United Kingdom

A leading travel technology provider in the United Kingdom is seeking a Machine Learning Engineer II to join their Product AI Engineering team. The successful applicant will design and optimize intelligent systems utilizing AI techniques. Essential qualifications include a strong coding background in Python and significant experience with machine learning libraries. This position also offers flexible benefits and opportunities for professional development.