Data & AI Consultants - Dynamic AI Consulting Firm in London

Job ID: 10986Location: London, England, GBType: AnySalary: USD excellent per yearPosted: 2025-12-04Data & AI Senior ConsultantsLocation – We are flexible: onsite, hybrid or fully remote, depending on what works for you and the client, UK or Netherlands based.

What you will actually be doingThis is not a role where you build clever models that never get used. Your focus is on creating measurable value for clients using data science, machine learning and GenAI, in a consulting and advisory context.

You will own work from the very beginning, asking questions like "What value are we trying to create here?" and "Is this the right problem to solve?" through to "It is live, stakeholders are using it and we can see the impact in the numbers."You will work fairly independently and you will also be someone that more junior team members look to for help and direction. A big part of the job is taking messy, ambiguous business and technical problems and turning them into clear, valuable solutions that make sense to the client.

You will do this in a client facing role. That means you will be in the room for key conversations, providing honest advice, managing expectations and helping clients make good decisions about where and how to use AI.What your day to day might look likeGetting to the heart of the problemMeeting with stakeholders who may not be clear on what they really needUsing discovery sessions, workshops and structured questioning to uncover the real business problemFraming success in terms of value.

For example higher revenue, lower cost, reduced risk, increased efficiency or better customer experienceTranslating business goals into a clear roadmap of data and AI work that everyone can understandAdvising clients when AI is not the right solution and suggesting simpler or more cost effective alternativesConsulting and advisory workActing as a trusted advisor to product owners, heads of department and executivesHelping clients prioritise use cases based on value, feasibility and riskCommunicating trade offs in a simple way.

For example accuracy versus speed, innovation versus compliance, cost versus impactPreparing and delivering client presentations, proposals and updates that tell a clear storySupporting pre sales activities where needed, such as scoping work, estimating effort and defining outcomesManaging client expectations, risks and dependencies so there are no surprisesBuilding things that actually workOnce the problem and value are clear, you will design and deliver production ready ML and GenAI solutions.

That includes: Designing and building data pipelines, batch or streaming, that support the desired outcomesWorking with engineers and architects so your work fits cleanly into existing systemsMaking sure what you build is reliable in production and moves the needle on agreed metrics, not just offline benchmarksExplaining design decisions to both technical and non technical stakeholdersGenAI workYou will work with GenAI in ways that are grounded in real use cases and business value: Building RAG systems that improve search, content discovery or productivity rather than existing for their own sakeImplementing guardrails so models do not leak PII or generate harmful or off brand contentDefining and tracking the right metrics so you and the client can see whether a GenAI solution is useful and cost effectiveFine tuning and optimising models so they perform well for the use case and budgetDesigning agentic workflows where they genuinely improve outcomes rather than add complexityHelping clients understand what GenAI can and cannot do in practiceKeeping it runningYou will set up the foundations that protect value over time: Experiment tracking and model versioning so you know what works and can roll back safelyCI/CD pipelines for ML so improvements reach users quickly and reliablyMonitoring and alerting for models and data so you can catch issues before they damage trust or resultsCommunicating operational risks and mitigations to non technical stakeholders in plain languageSecurity, quality and complianceYou will help make sure: Data is accurate, traceable and well managed so decisions are soundSensitive data is handled correctly, protecting users and the businessRegulatory and compliance requirements are met, avoiding costly mistakesClients understand the risk profile of AI solutions and the controls in placeWorking with peopleYou will be a bridge between technical and non technical teams, inside our organisation and on the client side.

That means: Explaining complex ML and GenAI ideas in plain language, always tied to business outcomesWorking closely with product managers, engineers and business stakeholders to prioritise work that mattersFacilitating workshops, playback sessions and show and tells that build buy in and understandingCoaching and supporting junior colleagues so the whole team can deliver more valueRepresenting the company professionally in client meetings and at industry eventsWhat we are looking forExperienceAround 3 to 6 years of experience shipping ML or GenAI solutions into productionA track record of seeing projects through from discovery to delivery, with clear impactExperience working directly with stakeholders or clients in a consulting, advisory or product facing roleEducationA Bachelor or Master degree in a quantitative field such as Computer Science, Data Science, Statistics, Mathematics or EngineeringorEquivalent experience that shows you can deliver resultsTechnical skillsCore skillsStrong Python and SQL, with clean, maintainable codeSolid understanding of ML fundamentals.

For example feature engineering, model selection, handling imbalanced data, choosing and interpreting metricsExperience with PyTorch or TensorFlowGenAI specificHands on experience with LLM APIs or open source models such as Llama or MistralExperience building RAG systems with vector databases such as FAISS, Pinecone or WeaviateAbility to evaluate and improve prompts and retrieval quality using clear metricsUnderstanding of safety practices such as PII redaction and content filteringExposure to agentic frameworksCloud and infrastructureComfortable working in at least one major cloud provider. AWS, GCP or AzureFamiliar with Docker and CI/CD pipelinesExperience with managed ML platforms such as SageMaker, Vertex AI or Azure MLData engineering and MLOpsExperience with data warehouses such as Snowflake, BigQuery or RedshiftWorkflow orchestration using tools like Airflow or DagsterExperience with MLOps tools such as MLflow, Weights and Biases or similarAwareness of data and model drift, and how to monitor and respond to it before it erodes valueSoft skills, the things that really matterYou are comfortable in client facing settings and can build trust quicklyYou can talk with anyone from a CEO to a new data analyst, and always bring the conversation back to business valueYou can take a vague, messy business problem and turn it into a clear technical plan that links to outcomes and metricsYou are happy to push back and challenge assumptions respectfully when it is in the client's best interestYou like helping other people grow and are happy to mentor junior colleaguesYou communicate clearly in writing and in personNice to have, not requiredDo not rule yourself out if you do not have these. They are a bonus, not a checklist.

Experience with Delta Lake, Iceberg, Spark or Databricks, PalantirExperience optimising LLM serving with tools such as vLLM, TGI or TensorRT LLMSearch and ranking experience. For example Elasticsearch or rerankersBackground in time series forecasting, causal inference, recommender systems or optimisationExperience managing cloud costs and IAM so value is not lost to wasteAbility to work in other languages where needed. For example Java, Scala, Go or bashExperience with BI tools such as Looker or TableauPrior consulting experience or leading client projects end to endContributions to open source, conference talks or published papers that show your ability to share ideas and influence the wider communityGot a background that fits and you're up for a new challenge? Send over your latest CV, expectations and availability.

Staffworx Limited is a UK based recruitment consultancy partnering with leading global brands across digital, AI, software, and business consulting. Let's talk about what you could add to the mix.#DataAIConsultant #DataConsulting #AIConsultant #GenAIConsultant #HiringNow #DataScience #MachineLearning #GenAI #LLM #MLOps #DataEngineering #Python #BusinessValue #ImpactDrivenAI #ValueDrivenAnalytics #DataDrivenDecisions #ProductionAI #HybridWork #RemoteFriendly #FlexibleWorking