ML Ops Engineer

Constructor

OUR MISSION Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency.  With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. PLEASE SEND YOUR RESUME IN ENGLISH ONLY. BRIEF JOB DESCRIPTION: Owns the end-to-end data analytics lifecycle, from defining measurement frameworks and surfacing insights to supporting product and model decisions. The role works closely with engineering, product, and ML teams, builds and maintains data pipelines and dashboards, and helps shape the analytical foundation of the AI software development project. Requires 3+ years of data analytics experience, with a track record of influencing product outcomes in a fast-moving technical environment. MISSION: Turn raw product, behavioural, and model data into clear, trustworthy insight that helps the team make better decisions, faster. EDUCATION: * Bachelor’s degree or higher in Statistics, Computer Science, Engineering, Economics, or a related quantitative field — or equivalent practical experience. RESPONSIBILITIES: * Define measurement frameworks and metrics with product and engineering teams. * Build and maintain data pipelines, dashboards, and reports. * Analyse product, behavioural, and model data to surface actionable insights. * Support experiment design and A/B test analysis. * Ensure data quality and consistency across sources. QUALIFICATIONS & EXPERIENCE: * 3+ years’ experience in data analytics or a similar quantitative role. * Strong SQL and proficiency in Python or R for analysis. * Experience building dashboards (e.g. Tableau, Power BI, Looker, or similar). * Solid grasp of statistics and experiment design. * Clear communication of findings to technical and non-technical audiences. NICE TO HAVE (NOT OBLIGATORY): * Experience with cloud data warehouses (BigQuery, Snowflake, Redshift). * Familiarity with ML workflows and model evaluation metrics. * Familiarity with GitLab for versioning analysis code and pipelines. * Exposure to EdTech or AI products. WHAT WE OFFER * 💻 Choice of work equipment (e.g., laptop, monitor, etc.) * 🇬🇧 English classes (iTalki – $130 monthly) * ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00 CET or EET) * 👶 Newborn bonus (€500 per child) * 🧠 Patent remuneration * 🌴 Paid leave * 🧑‍💻 Remote work in locations without our offices * Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

Constructor

OUR MISSION Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency.  With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. PLEASE SEND YOUR RESUME IN ENGLISH ONLY. BRIEF JOB DESCRIPTION: Contributes hands-on across the applied-research cycle behind Constructor’s education products — surveying recent work, designing and running experiments, analysing results, and prototyping capabilities that apply AI and quantum through an education lens to improve how people teach, learn, and do research. Works closely with research scientists, engineering, and product teams, and helps turn early-stage ideas into working features that feed the AI software development project. Requires 3+ years of research experience — ideally in education technology or applied AI — with a track record of delivering solid, hands-on output in a fast-paced, multidisciplinary setting. MISSION: Do the hands-on experimental work that turns promising ideas into working proof-of-concept code — quickly, and backed by evidence the product and engineering teams can build on. EDUCATION: * Master’s or PhD (or near-completion) in Computer Science, Physics, Mathematics, or a related field — or equivalent applied research experience. Shipped research prototypes, open-source contributions, or publications all count. DUTIES AND RESPONSIBILITIES:  * Scan recent research and turn relevant techniques into prototypes the team can test fast. * Design, implement, and run experiments; analyse results and decide what’s worth taking forward. * Deliver each idea as working proof-of-concept code — clean enough to hand to engineering, not just a written summary. * Help integrate validated research into product features and measure the impact. * Work day to day with research scientists, ML engineers, and product teams to move ideas from notebook to product. QUALIFICATIONS AND EXPERIENCE: * 3+ years of applied research or research-engineering experience — ideally in education technology or applied AI. * Strong Python and PyTorch — able to produce runnable code others can extend, not just specs. * Sound grasp of experiment design, statistics, and result analysis. * Able to read recent papers and reproduce or adapt their methods into working code quickly. * Reproducible, well-documented work using version control (GitLab) and experiment tracking (MLflow). NICE TO HAVE (NOT OBLIGATORY): * Experience taking research prototypes into production or shipped product features. * Publications, preprints, or open-source contributions in AI or related areas. * Exposure to AI-for-education products, or to quantum computing frameworks. WHAT WE OFFER * 💻 Choice of work equipment (e.g., laptop, monitor, etc.) * 🇬🇧 English classes (iTalki – $130 monthly) * ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00 CET or EET) * 👶 Newborn bonus (€500 per child) * 🧠 Patent remuneration * 🌴 Paid leave * 🧑‍💻 Remote work in locations without our offices * Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

Financial Times

ABOUT US The Financial Times (FT) is one of the world’s leading business news and information organisations. We are recognised globally for our authority, integrity, and accuracy. We provide a broad range of essential services, including news, comment, data, and analysis, to a growing audience of internationally minded business people. Here at the FT, gold-standard journalism is just the beginning. Our 500-people-strong Product & Tech team keeps us ahead of the ever-changing digital landscape by delivering cutting-edge products to over one million digital subscribers every day. Our plans for growth rely on a diverse, dedicated, and dynamic group of product, tech, delivery, and data specialists – everyone’s welcome in this friendly, forward-thinking team. STORYFINDING TEAM The Storyfinding team sits at the heart of innovation between the FT’s newsroom and technology. We collaborate closely with the Computational Journalism team to uncover and scale new ways of finding stories hidden in complex or unstructured data. Our mission is to turn bespoke investigations into reusable tools and data products that empower more journalists to tell stories that otherwise would be untold. This is where engineering meets journalism — you can see the direct impact of your work on the FT’s homepage. Since the team was formed, Storyfinding has helped uncover more than 10 exclusive stories, including Europe builds for war as arms factories expand at triple speed and Prices for used Teslas drop in US and Britain. We are a cross-functional team of Software Engineers, Data Engineers, ML Ops Engineers, and Product Managers. We balance strong engineering practices with the fast-moving needs of the newsroom, delivering quickly while keeping our systems reliable, secure, and easy to evolve. ABOUT THE ROLE OVERVIEW We are looking for a Senior Software Engineer 1 to play a key role in designing, building, and operating the backend systems and services that power Storyfinding’s investigative and editorial work. This is a hands-on senior individual contributor role with a primary focus on backend software engineering. You will be responsible for designing and building robust backend systems and services, while also maintaining that data engineering is a key component of the work. You will contribute to and maintain critical data pipelines and data products, helping to establish patterns and standards that enable the team to scale its impact. WHAT YOU’LL WORK ON Some example projects include: * Designing and operating data pipelines that ingest, clean, enrich, and model complex datasets for investigative reporting. * Building resilient, observable data workflows to support high-traffic and time-critical newsroom events such as elections or major economic announcements. * Developing shared data infrastructure and tooling that turns one-off investigations into reusable capabilities for the wider newsroom. * Working with unstructured and semi-structured data sources (documents, filings, scraped content, APIs) to create high-quality, queryable datasets. * Collaborating with journalists, product managers, and engineers to translate editorial questions into scalable data solutions. KEY RESPONSIBILITIES * Design, build, and maintain scalable and resilient backend services, APIs, and infrastructure. * Ensure high standards of software quality through testing, documentation, observability, and security across all systems. * Design, build, and maintain scalable, reliable data pipelines and datasets in a cloud environment. * Work across OLTP and OLAP data stores to support both application-driven and analytical use cases. * Partner closely with journalists and other technical colleagues to shape data solutions that directly support storytelling. * Lead by example in engineering best practices, including code review, documentation, and pragmatic architectural decision-making. * Support and mentor more junior engineers through pairing, feedback, and knowledge sharing. * Identify areas where AI and new technologies can help in the newsroom and be able to propose ideas. * Actively participate in the process of requirements gathering and have the desire to have regular catch-ups with editors and journalists if that’s needed. ABOUT YOU We’re looking for someone curious, pragmatic, and motivated by impact. You enjoy working with messy real-world data, care deeply about reliability and clarity, and are comfortable operating in an environment where priorities can shift quickly around editorial deadlines. ESSENTIAL SKILLS * Strong experience as a backend engineer designing and building production-grade distributed systems and APIs in a cloud environment. * Excellent Python skills for developing backend services, system integration, and data processing. * Solid experience as a data engineer with a vital skill set in maintaining production data pipelines and using workflow orchestration tools like Apache Airflow. * Experience working with cloud platforms, particularly AWS. * Familiarity with modern engineering practices including version control, CI/CD, and automated testing. * The ability to communicate clearly with both technical and non-technical stakeholders. * Interest in exploring new technologies and approaches related to AI and Agentic AI. * An interest in journalism, investigations, or using data to answer real-world questions. * Data Science (DS) experience or education is highly valuable for this role, as we leverage AI heavily for many of our use cases. DESIRABLE SKILLS * Strong SQL skills and experience designing and working with relational and analytical databases. * Experience with databases such as BigQuery, Redshift, PostgreSQL, SingleStore, or MongoDB. * Experience working with unstructured or semi-structured data at scale. * A solid understanding of data modelling, data architecture, and trade-offs between different storage and processing approaches. * Comfort contributing to backend software engineering tasks beyond pure data pipelines. * Exposure to building internal tools or lightweight user-facing applications. * Experience with building simple user interfaces or/and the desire to do so (e.g., using frameworks like Streamlit). CHARACTERISTICS WE VALUE * Inquisitive and analytical, with strong problem-solving skills. * Pragmatic and delivery-focused, able to balance technical quality with newsroom deadlines. * Collaborative and generous with your knowledge. * Comfortable working with ambiguity and evolving requirements. * A systems-level thinker who can see how individual pipelines and tools fit into a broader platform. * Motivated by learning and continuous improvement. * A collaborative team member who thrives in cross-functional environments and values collective success. OUR TECHNOLOGY We don’t expect you to be an expert in everything. Our current stack includes: * Languages: Python, SQL * Cloud & Infrastructure: AWS * Data Pipelines & Orchestration: Apache Airflow, AWS ECS * Databases: BigQuery, Redshift, PostgreSQL, SingleStore, MongoDB * Version Control & CI/CD: GitHub, CircleCI * Frontend (small part of the role): Streamlit This is a unique opportunity to use your technical skills to contribute to data journalism. You’ll be making content for the FT’s readership, using data to make news accessible, understandable, and impactful. If this sounds like a role that aligns with your expertise and ambitions, we’d love to hear from you!   IN RETURN, WE CAN OFFER YOU * Annual bonus scheme * 25 days paid leave * 24/7 Employee Assistance Program * Life Insurance * Enhanced Parental Leave policy * Food Allowance * Multisport Card * Both in house and external training programs * Your own training dedicated budget (for conferences, courses etc.)   We currently operate a hybrid model which requires staff to work onsite 50% of the time, subject to role requirements & regular review. While flexible working requests will be considered, not all patterns are suitable for all roles. We believe this balanced approach supports flexibility and protects our culture, making collaboration and communication easier, building stronger relationships and team cohesion, and supporting peer learning.  We reserve discretion on reasonable notice to change this approach either generally or for specific individuals or teams.    Our commitment to diversity, equity and inclusion  We believe in the power of unique perspectives and want all voices in our organisation to be heard, respected and valued. A supportive workplace is one where employees feel they can be themselves and operate to their full potential. We are committed to removing barriers for everyone, with a focus on addressing those faced by underrepresented groups.   Accessibility We are a disability confident employer and Valuable 500 signatory. Please let us know if you require any reasonable adjustments/personalisation as part of the application process or to enable you to attend an interview. If you would like to discuss your requirements or have any questions, email talent@ft.com and a member of our team will be happy to help.   Further information At the FT, we embrace innovation and the use of technology and appreciate that individuals may leverage AI tools as part of their job application process. Whilst we are happy for you to use AI to assist with your application, it is essential that all information provided is authentic and accurately represents your skills, experience, and qualifications. Candidates should be aware that the use of AI throughout the application process may be monitored to ensure a fair and transparent hiring process for all. Please beware of fraudulent job postings and offers claiming to be from the Financial Times. All legitimate opportunities will direct you to apply through the official Financial Times careers site, and the FT will never ask for financial information, payments, or referrals to third parties during the hiring process. If you have any concerns about the legitimacy of a job posting or suspect any scam activity, please contact talent@ft.com.  Interested in the FT but don’t see the right role yet? Join our Talent Community to receive exclusive updates, featured jobs, and insights into working at the FT. #LI-MG1