{"id":802159,"url":"https://alion.io/job/tickmill-senior-aiml-engineer-ai-lead-cyprus","title":"Senior AI/ML Engineer (AI Lead) - Cyprus","company":{"id":56893,"name":"Tickmill","domain":"tickmill.com","url":"https://alion.io/company/tickmill","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":{"grade":"A","score":88,"open_postings":34,"ghost_share":0.118,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":88,"computed_at":"2026-10-30T05:48:23Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Limassol, Cyprus"],"countries":["CY"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":62000,"max_usd":155000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1286},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Interpretability","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SHAP","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-06-19T00:00:00Z","employer_posted_date":"2026-06-19","last_verified_at":"2026-10-31T02:37:36Z","board_verified":true,"closed_at":null,"days_open":134,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":132},"description":"Are you looking for the next professional opportunity that will challenge you and advance your career?\nJoin our team now!\nTickmill is looking to hire aSenior AI/ML Engineer (AI Lead)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.\nAbout Tickmill.\nTickmill 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 & Options).\nFounded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide.\nOur 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.\nOur diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can.\nWe offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth.\nJoin the Tigers!\nWhat does the role look like?\nThe Senior AI/ML Engineer (AI Lead) will have the chance to:\nDesign, develop, and productionise machine learning models end-to-end (training, validation, deployment, monitoring, retraining), ensuring reliability in real-world environments.\nLead 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.\nBuild and establish robust MLOps practices, including model deployment pipelines, CI/CD, environment promotion (dev/stage/prod), and lifecycle management.\nImplement model monitoring frameworks to track performance, data drift, data quality, and business impact, with clear retraining and escalation strategies.\nEnsure model explainability and transparency using techniques such as SHAP, feature attribution, and other interpretability methods appropriate for business-critical and regulated contexts.\nDefine and enforce best practices around model governance, documentation, versioning, and auditability, proportional to model risk and business impact.\nCollaborate closely with Data Engineering to ensure high-quality data pipelines, feature engineering, reproducibility, and scalable data foundations.\nWork cross-functionally with Product, Risk, Commercial, and other stakeholders to translate business problems into pragmatic AI solutions, balancing speed and robustness.\nDrive continuous improvement through feedback loops, monitoring insights, and model retraining strategies, rather than one-off model delivery.\nMentor team members and promote best practices in production AI, MLOps, and applied machine learning delivery.\nWhat do you need to succeed in this role?\n5-8+ years of experience building and deploying machine learning models in production environments (not just experimentation).\nStrong Python programming skills and solid software engineering fundamentals (testing, code quality, modular design, maintainability).\nStrong understanding of machine learning concepts, model evaluation, feature engineering, and practical considerations in production systems (e.g. data leakage, drift, stability).\nHands-on experience with large-scale data processing (Spark / PySpark).\nExperience with ML lifecycle tools (MLflow or similar) for experiment tracking, model management, and reproducibility.\nExperience building and maintaining CI/CD pipelines (GitHub Actions preferred) for ML or data workflows.\nStrong SQL skills and experience working with large, complex datasets in real-world environments.\nProven ability to deliver AI/ML solutions with measurable business impact, not just model performance improvements.\nExperience working with model deployment, monitoring, drift detection, and retraining strategies in production systems.\nStrong communication skills with the ability to work effectively with both technical and non-technical stakeholders, translating trade-offs clearly.\nAbility to operate effectively in environments with evolving requirements, imperfect data, and delivery pressure, balancing MVP speed with production robustness.\nThe below are considered as a plus:\nExperience in fintech, trading, or financial services environments, particularly where models influence business-critical decisions.\nExperience with real-time or streaming ML systems.\nFamiliarity with modern AI approaches such as LLMs, embeddings, or retrieval-augmented generation (RAG), particularly where applied to business workflows or integrated with structured data.\nExperience working in regulated environments and implementing model governance frameworks (e.g. auditability, explainability, approvals, documentation standards).\nExperience contributing to team standards, mentoring, or leading applied AI delivery.\nBy joining us, you can expect:\nA Unique Opportunity for a career in a global, fast-growing company.\nAttractive remuneration packagebased on qualifications and experience (including 13th salary and Discretionary Bonuses to reward exceptional performance). \nOpportunities to learn and grow through our “Employee Training & Development program”.\nMedical Insurance Cover, which includes Outpatient, Inpatient, and Dental Care.\nMultiple eventsto bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company.\nParticipation in our welfare investment and savings plan through our Provident Fund Scheme.\nBirthday and Loyalty benefits.\nCollaboration with SportBenefit.\nWhat to expect from our recruitment process:\nFirst interview with hiring managers or an HR call\nTask Assessment\nTechnical Interview or home assignment\nFinal interview with top management\nMake your next Career step and apply NOW!\n*Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.","description_format":"text","description_chars":6104,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Health insurance"],"hiring_locations":[{"name":"Cyprus","iso":"CY","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Precious Metals","Cryptocurrencies","E-learning"],"lifecycle":[{"event":"open","at":"2026-09-12T08:24:38Z"}],"visa":[],"liveness":{"score":24,"band":"cold","label":"Long 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