{"id":3447956,"url":"https://alion.io/job/fdj-united-junior-ml-dataops-engineer","title":"Junior ML DataOps Engineer","company":{"id":1795857,"name":"FDJ United","domain":"fdjunited.com","url":"https://alion.io/company/fdjunited","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Radancy","truth_index":{"grade":"A","score":85,"open_postings":5,"ghost_share":0,"stale_share":0.6,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-11-02T06:13:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":49000,"max_usd":137000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":10},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"GitLab","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-29T09:24:53Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-11-02T07:37:14Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"At FDJ UNITED, we don't just follow the game, we reinvent it.\nFDJ UNITED is one of Europe’s leading betting and gaming operators, with a vast portfolio of iconic brands and a reputation for technological excellence. With more than 5,000 employees and a presence in around fifteen regulated markets, the Group offers a diversified, responsible range of games, both under exclusive rights and open to competition. We set new standards, proving that entertainment and safety can go hand in hand. Here, you’ll work alongside a team of passionate individuals dedicated to delivering the best and safest entertaining experiences for our customers every day.\nWe’re looking for bold people who are eager to succeed and ready to level-up the game. If you thrive on innovation, embrace challenges, and want to make a real impact at all levels, FDJ UNITED is your playing field.\nJoin us in shaping the future of gaming. Are you ready to LEVEL-UP THE GAME?\nAbout the role\nFDJ United’s ambition is to be the most insight-driven gambling company, and in recent years we’ve invested heavily in our data capabilities. Focusing on our Sportsbook product, DataOps plays a critical role in streamlining and optimising data management processes, ensuring faster, more reliable and data-driven decision-making. In a dynamic and highly regulated industry, leveraging real-time insights, maintaining data integrity and enhancing operational efficiency are essential to delivering a seamless customer experience.\nAs a Junior ML DataOps Engineer, you will help us build, operate and improve the tools, infrastructure and workflows that enable our Data Scientists, Data Engineers and Machine Learning Engineers to deliver high-quality data and ML products at scale. You will contribute to automating processes, improving data quality, developing testing and monitoring capabilities, and making our development and deployment workflows more reliable and efficient.\nYou will also help us explore and adopt new technologies, including Generative AI, to improve how we build, test and operate our data products. This includes contributing to our Data Lakehouse capabilities and developing tooling that helps our teams work more efficiently, experiment safely and move solutions into production with confidence.\nWorking alongside experienced engineers, you will have the opportunity to develop your skills across software engineering, data engineering, cloud infrastructure and AI operations. We are looking for someone with a strong technical foundation, a genuine interest in AI and automation, and the curiosity and initiative to learn, experiment and grow as part of a collaborative engineering team.\nAbout you\nWe think that to be successful in this role, you will be able to demonstrate many of the following attributes:\nGood programming skills in Python or Java, with a willingness to develop further.\nAn understanding of software engineering fundamentals, including version control, code reviews, testing and maintainable code.\nAn interest in DataOps, DevOps, MLOps or ML Engineering, and how these disciplines help teams deliver reliable production systems.\nFamiliarity with CI/CD pipelines and automated software deployment, or a willingness to learn.\nAn understanding of data pipelines, data processing and the importance of data quality and reliability.\nAn interest in AI and machine learning, including Generative AI and the operational challenges of taking AI solutions into production.\nFamiliarity with cloud computing, ideally AWS, or experience with cloud-based projects.\nA proactive approach to problem-solving, with the ability to investigate issues, learn from feedback and develop practical solutions.\nGood communication and interpersonal skills, with the ability to collaborate with engineers and other stakeholders across different disciplines.\nA growth mindset, with enthusiasm for learning new technologies and developing your technical capabilities.\nThe ability to work with uncertainty, adapt to changing priorities and approach unfamiliar problems with curiosity and initiative.\nIn addition, it would be an advantage if you also have\nExperience with Python-based data processing or automation.\nFamiliarity with AI/ML frameworks, APIs or Generative AI tools.\nExposure to Spark, Kafka or other distributed data processing technologies.\nExperience with Docker, containers or Kubernetes.\nFamiliarity with infrastructure as code, such as Terraform or CloudFormation.\nExposure to AWS services and cloud-native application development.\nAn understanding of automated testing, data quality checks, monitoring, logging or alerting.\nExperience with Git-based workflows and tools such as GitLab.\nAn interest in data platforms, Data Lakehouse architectures or enterprise data concepts. \nPersonal projects, academic work or contributions that demonstrate curiosity and practical experience in software engineering, data or AI.\nWe believe talent knows no boundaries. Our hiring process focuses solely on your skills, experience, and potential to contribute to our team. We welcome applicants from all backgrounds and evaluate each candidate based on merit, regardless of personal characteristics as the age, gender, origin, religion, sexual orientation, neurodiversity or disability.","description_format":"text","description_chars":5264,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Sports Betting","iGaming & Gambling"],"lifecycle":[{"event":"open","at":"2026-10-29T09:24:53Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":3,"expected_fill_days":29,"reasons":["conf:2","velocity","win:early","comp:junior"],"computed_at":"2026-11-02T06:13:15Z"},"pay":null,"html_url":"https://alion.io/job/fdj-united-junior-ml-dataops-engineer","json_url":"https://alion.io/job/fdj-united-junior-ml-dataops-engineer.json","meta":{"generated_at":"2026-11-02T09:47:33Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":13650,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-03T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1795857},"rest":"https://alion.io/mcp/rest/get_company?id=1795857"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffdj-united-junior-ml-dataops-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ffdj-united-junior-ml-dataops-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ffdj-united-junior-ml-dataops-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/fdj-united-junior-ml-dataops-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffdj-united-junior-ml-dataops-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3447956}},{"tool":"search_jobs","arguments":{"company":"fdjunited.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3447956},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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