We’re looking for a Senior AI Engineer to lead the design and deployment of production-grade AI systems, with a focus on self-hosted models. You’ll play a key role in shaping how AI is used across Enteractive - from LLM-powered tooling for agents, to automation, personalization, and internal intelligence systems, while ensuring data privacy, performance, and reliability. This is a hands-on, high-impact role for someone who can bridge research and real-world systems at scale. Key Responsibilities Design, build, and maintain AI/LLM infrastructure (self-hosted models, GPUs, inference pipelines) Develop and deploy LLM-based solutions (RAG systems,internal tools for agents and CRM teams) Optimize models for latency & throughput in controlled environments Build scalable data pipelines for training, fine-tuning, and evaluation Implement model serving and orchestration (e.g., APIs, batching, streaming inference) Ensure security, compliance, and data privacy across all AI systems Collaborate with product and operations teams to embed AI into player engagement workflows Required Skills / Experience 2+ years of experience in AI / ML engineering Solid understanding of LLMs, embeddings, and prompt engineering Experience deploying models in on-prem or hybrid environments Strong Python skills and experience building production APIs/services Experience with model optimization techniques (quantization, batching, GPU utilization) Familiarity with MLOps practices (CI/CD, monitoring, versioning) Strong problem-solving skills and ability to operate autonomously

We are looking for a Senior Voice AI Engineer to design and build real-time conversational voice systems that integrate seamlessly into our engagement workflows. This role focuses on low-latency, production-grade voice pipelines, combining Speech-to-Text (STT), LLM reasoning, and Text-to-Speech (TTS) into cohesive, high-quality experiences. You’ll be working on systems that need to feel natural, responsive, and human-like, operating under strict performance and reliability constraints. Key Responsibilities Design and build real-time voice AI pipelines Develop and optimize low-latency streaming systems using tools like LiveKit Implement and fine-tune Voice Activity Detection (VAD) and turn-taking logic Engineer robust prompting strategies for conversational AI (multi-turn, context-aware flows) Integrate LLMs with voice interfaces for agent-assist and autonomous interactions Optimize for latency, interruption handling, and conversational naturalness Evaluate and improve speech recognition accuracy and voice synthesis quality Work closely with product and operations to embed voice AI into player engagement workflows Ensure scalability, observability, and fault tolerance of real-time systems Required Skills / Experience 5+ years of experience in software engineering, with strong exposure to real-time or AI systems Hands-on experience with voice AI components including STT, TTS & VAD Experience with LiveKit or similar real-time communication frameworks (WebRTC, media pipelines) Strong experience with LLMs and prompt engineering for conversational systems Proficiency in Python Understanding of latency optimization and streaming architectures Experience building and deploying production-grade systems

We're looking for a BI Analyst who already knows this industry. You've come up through an operator's data team or another affiliate. You know what NDC, NGR, and retention curves mean in practice. And you're ready for a role where you can do more than service requests.   What You'll Be Doing Turning data into decisions. You'll work directly with our data engineers on a Microsoft Fabric / Azure stack, pulling insight from affiliate, CRM, and web data that actually shapes how we spend, where we focus, and what we build next. Owning the numbers that matter. Player behaviour, channel performance, operator programme economics, content effectiveness — you'll know this data better than anyone, and you'll be the person the business turns to when it needs to understand what's happening and why. Building the reporting layer. You'll design and maintain dashboards and reports that people actually use — clear, accurate, and built for the decisions they're supporting, not for the sake of looking good. Working on AI tooling. We're building proprietary AI capability into how we acquire and understand audiences. You'll work with product and engineering to develop and interrogate that tooling — finding efficiencies and surfacing insights that wouldn't be visible any other way. Keeping the data honest. You'll own data quality across reporting — tracing discrepancies, maintaining consistency, and making sure the numbers we act on are numbers we can trust. Being genuinely useful to the business. Marketing, Commercial, Operations — you'll work across all of them, translating what the data says into language and recommendations that land with people who aren't analysts.   What You Need Industry experience — operator, affiliate, or adjacent. You understand how this business model works, not just how data works. Strong SQL. Complex queries, not just lookups. Hands-on experience with Power BI or equivalent, and comfort working within a cloud data stack (Azure / Fabric / Synapse / Data Factory or similar). A track record of delivering insight that changed something — a decision, a strategy, a spend allocation. Clear communication. You can write a slide or talk through findings with a commercial director without losing either of them. The drive to work things out yourself. We'll give you the stack, the access, and the context — the curiosity has to be yours. What Would Make You Stand Out Python or R for statistical analysis or modelling. Experience with marketing analytics tools — Google Analytics, GA4, attribution platforms. Familiarity with A/B testing or predictive modelling in a commercial context. Agile ways of working — Jira, Confluence, sprint cadences. The Package £50,000 base + bonus scheme Hybrid working — remote Wednesdays and Fridays 25 days holiday Vitality Private Healthcare (on completion of probation) Milton Keynes parking permit (on completion of probation)