Senior AI/ML Engineer (AI Lead)

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    "description": "<p><span style=\"font-size: 12pt\">Are you looking for the next professional opportunity that will challenge you and advance your career? <br><em><span style=\"font-weight: bold\">Join our team now!</span></em><br><br></span></p>\n<p><span style=\"font-size: 12pt\">Tickmill is looking to hire a <span style=\"font-weight: bold\">Senior AI/ML Engineer (AI Lead)</span> to join our rapidly expanding team. The ideal candidate will be a highly hands-on and business-oriented professional, capable of designing and delivering production-grade AI systems that drive measurable business impact.<br><br></span></p>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\"><span>About Tickmill.</span></span></span><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\"><br></span></span></p>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\"><br></span></span></p>\n<p><span style=\"font-size: 12pt\"><span>Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures &amp; Options).<br></span></span></p>\n<p><span style=\"font-size: 12pt\"><br></span></p>\n<p><span style=\"font-size: 12pt\"><span>Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide. </span><span> </span></span></p>\n<p><span style=\"font-size: 12pt\"><span>Our culture is built on trust, transparency, and high standards.  We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields.  </span><span> </span></span></p>\n<p><span style=\"font-size: 12pt\"><span>Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can. </span><span> <br><br></span></span></p>\n<p><span style=\"font-size: 12pt\"><span>We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth. <br>Join the Tigers!<br><br></span></span></p>\n\n<p><span style=\"font-size: 12pt; font-weight: bold\">What the job looks like?<br><br></span></p>\n<p><span style=\"font-size: 12pt\">The Senior AI/ML Engineer (Applied AI Lead) will have the chance to:</span></p>\n<p><span style=\"font-size: 12pt\">• Design, develop, and productionise machine learning models end-to-end (training, validation, deployment, monitoring, retraining), ensuring reliability in real-world environments.</span><br><span style=\"font-size: 12pt\">• Lead the development of AI use cases such as client lifetime value (CLV), churn prediction, and fraud/abuse detection, with clear alignment to business outcomes and measurable impact.</span><br><span style=\"font-size: 12pt\">• Build and establish robust MLOps practices, including model deployment pipelines, CI/CD, environment promotion (dev/stage/prod), and lifecycle management.</span><br><span style=\"font-size: 12pt\">• Implement model monitoring frameworks to track performance, data drift, data quality, and business impact, with clear retraining and escalation strategies.</span><br><span style=\"font-size: 12pt\">• Ensure model explainability and transparency using techniques such as SHAP, feature attribution, and other interpretability methods appropriate for business-critical and regulated contexts.</span><br><span style=\"font-size: 12pt\">• Define and enforce best practices around model governance, documentation, versioning, and auditability, proportional to model risk and business impact.</span><br><span style=\"font-size: 12pt\">• Collaborate closely with Data Engineering to ensure high-quality data pipelines, feature engineering, reproducibility, and scalable data foundations.</span><br><span style=\"font-size: 12pt\">• Work cross-functionally with Product, Risk, Commercial, and other stakeholders to translate business problems into pragmatic AI solutions, balancing speed and robustness.</span><br><span style=\"font-size: 12pt\">• Drive continuous improvement through feedback loops, monitoring insights, and model retraining strategies, rather than one-off model delivery.</span><br><span style=\"font-size: 12pt\">• Mentor team members and promote best practices in production AI, MLOps, and applied machine learning delivery.<br><br></span></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">What will you need to be able to do the job?</span></p>\n<p><span style=\"font-size: 12pt\">• 5–8+ years of experience building and deploying machine learning models in production environments (not just experimentation).</span><br><span style=\"font-size: 12pt\">• Strong Python programming skills and solid software engineering fundamentals (testing, code quality, modular design, maintainability).</span><br><span style=\"font-size: 12pt\">• Strong understanding of machine learning concepts, model evaluation, feature engineering, and practical considerations in production systems (e.g. data leakage, drift, stability).</span><br><span style=\"font-size: 12pt\">• Hands-on experience with large-scale data processing (Spark / PySpark).</span><br><span style=\"font-size: 12pt\">• Experience with ML lifecycle tools (MLflow or similar) for experiment tracking, model management, and reproducibility.</span><br><span style=\"font-size: 12pt\">• Experience building and maintaining CI/CD pipelines (GitHub Actions preferred) for ML or data workflows.</span><br><span style=\"font-size: 12pt\">• Strong SQL skills and experience working with large, complex datasets in real-world environments.</span><br><span style=\"font-size: 12pt\">• Proven ability to deliver AI/ML solutions with measurable business impact, not just model performance improvements.</span><br><span style=\"font-size: 12pt\">• Experience working with model deployment, monitoring, drift detection, and retraining strategies in production systems.</span><br><span style=\"font-size: 12pt\">• Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders, translating trade-offs clearly.</span><br><span style=\"font-size: 12pt\">• Ability to operate effectively in environments with evolving requirements, imperfect data, and delivery pressure, balancing MVP speed with production robustness.<br><br></span></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">The below are considered as a plus:</span></p>\n<p><span style=\"font-size: 12pt\">• Experience in fintech, trading, or financial services environments, particularly where models influence business-critical decisions.</span><br><span style=\"font-size: 12pt\">• Experience with real-time or streaming ML systems.</span><br><span style=\"font-size: 12pt\">• Familiarity with modern AI approaches such as LLMs, embeddings, or retrieval-augmented generation (RAG), particularly where applied to business workflows or integrated with structured data.</span><br><span style=\"font-size: 12pt\">• Experience working in regulated environments and implementing model governance frameworks (e.g. auditability, explainability, approvals, documentation standards).</span><br><span style=\"font-size: 12pt\">• Experience contributing to team standards, mentoring, or leading applied AI delivery.<br><br></span></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">By joining us, you can expect:</span></p>\n<p><span style=\"font-size: 12pt\">• A unique opportunity for a career in a global, fast-growing company.</span><br><span style=\"font-size: 12pt\">• Attractive remuneration package based on qualifications and experience.</span><br><span style=\"font-size: 12pt\">• Opportunities to learn and grow through our “Employee Training &amp; Development program”.</span><br><span style=\"font-size: 12pt\">• Health insurance.</span><br><span style=\"font-size: 12pt\">• Hybrid work flexibility.</span><br><span style=\"font-size: 12pt\">• Multiple events to bond with the team and the group.</span><br><span style=\"font-size: 12pt\">• Birthday and loyalty benefits.</span></p>\n\n<p><span style=\"font-size: 12pt\"><br><br></span></p>\n<p><span style=\"font-size: 12pt\"><br></span></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Make your next career step and apply NOW!</span></p>\n<p><span style=\"font-size: 12pt\">*Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.</span></p>",
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