{"id":1685718,"url":"https://alion.io/job/dow-jones-senior-machine-learning-engineer-mlops","title":"Senior Machine Learning Engineer, MLOps","company":{"id":58531,"name":"Dow Jones","domain":"dowjones.com","url":"https://alion.io/company/dow-jones","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":17,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-04T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Barcelona, Spain"],"countries":["ES"],"hiring_countries":["ES"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":64000,"max_usd":135000,"period":"year","method":"role_seniority_country_cell","sample_n":8},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Dask","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-09-15T00:00:00Z","employer_posted_date":"2026-09-15","last_verified_at":"2026-10-05T00:20:12Z","board_verified":true,"closed_at":null,"days_open":20,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":20},"description":"Job Description:\nAbout the Team:\nOur Technology team drives the evolution of our Technology, Engineering, Data,\nProduct and User Experience functions. With a keen focus on delivering cutting-edge solutions, we shape the digital landscape for our customers, readers and users. From revolutionizing visuals to optimizing tools and harnessing the power of data, mobile, video and social platforms, our team is committed to providing a seamless and immersive experience across all touchpoints. Collaborating closely with our newsrooms and strategic partners, we spearhead the development of groundbreaking products and technologies.\nAbout the Role:\nWe are seeking a highly experienced and technically adept Senior Machine Learning Engineer to join our team. In this pivotal role, you will own the entire lifecycle of MLOps from optimization to deployment, with a strong focus on LLMOps. This position demands a strong blend of hands-on technical expertise, strategic thinking, and the ability to foster innovation within a dynamic environment.\nYou Will:\nDevelop and manage LLM-based solutions, including semantic layer development, fine-tuning, model evaluation, deployment strategies, and the development of agent and multi-agent systems.\n\nOwn end-to-end ML model development, optimization, and deployment.\n\nEnsure the scalability, efficiency, and reliability of ML pipelines.\n\nDesign and implement robust model monitoring and retraining strategies.\n\nOptimize model inference and performance for production environments.\n\nCollaborate closely with data scientists, engineers, and product teams to integrate ML solutions.\n\nImprove experimentation frameworks, model versioning, and A/B testing strategies.\n\nEnsure best practices in MLOps, including automation, reproducibility, and CI/CD for ML.\n\nContribute to architectural decisions and improve ML infrastructure.\n\nYou Have:\nA Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field or equivalent work experience; a Master's degree or Ph.D. is a strong plus.\n\n2-4 years of professional experience in machine learning with a strong portfolio of models deployed in a production environment.\n\nStrong experience with LLMOps, including fine-tuning frameworks, prompt engineering, and managing the lifecycle of large language models, as well as experience in the development of agent and multi-agent systems.\n\nAdvanced hands-on experience with cloud-based data warehouse solutions; Snowflake experience strongly preferred.\n\nProficiency in Python and SQL and deep, hands-on experience with ML frameworks like TensorFlow, PyTorch.\n\nA grasp of the broader data science toolkit, including libraries like Scikit-learn, Pandas, and NumPy.\n\nExperience building and maintaining MLOps pipelines using tools like MLflow, or Airflow.\n\nExperience with cloud platforms (AWS, GCP, or Azure) and large-scale data processing frameworks like Spark or Dask is preferred.\n\nOur Benefits\nComprehensive Healthcare Plans for you and your family (paid by Dow Jones)\n\nExtra paid Time Off (30 days of holidays/year)\n\nPossibility to work remotely for 3 months/year (desplazamiento program) or one week of remote work per quarter\n\nMeal benefit with Pluxee (171€/month on top of your salary)\n\nRetirement Plans (Dow Jones will pay 2% of a members Pensionable Salary and match employee contribution up to a maximum of 3 %).\n\nComprehensive Insurance Plans\n\nWell-being Resources (200 USD allowance per quarter, Classpass, etc.)\n\nFamily Care Benefits & Caregiving Support\n\nSubscription Discounts\n\nEmployee Referral Program (2,500 USD for referring a talent)\n\nLearn more about us and our benefits click here.\nEqual Opportunity Employer\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic. We strongly encourage applications from all qualified individuals, including women, people with disabilities, and those from underrepresented groups.\nReasonable Accommodation\nWe are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at . Please put \"Reasonable Accommodation\" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.\nPlease refer to the privacy notice at the bottom of this page for submitting any data access, deletion, or other data subject rights requests, where permitted under your local laws and regulations.\nBusiness Area:\nDow Jones - Technology\nJob Category:\nSoftware Product Engineering\nUnion Status:\nNon-Union / A clear and likely internal candidateBase Pay Range: 55,000 € - 70,000 €\nWe’re committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidate’s experience, skills, location, and other relevant factors.\nFor bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions.\nFor benefits-eligible roles, we offer a comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees.","description_format":"text","description_chars":5555,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Retirement plans"],"hiring_locations":[{"name":"Spain","iso":"ES","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Data & Analytics","Publishing","Digital Media"],"lifecycle":[{"event":"open","at":"2026-10-02T10:22:08Z"}],"visa":[],"liveness":{"score":57,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":0.9,"age_days":19,"expected_fill_days":40,"reasons":["conf:2","stale_co","velocity","win:mid","comp:brand"],"computed_at":"2026-10-04T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/dow-jones-senior-machine-learning-engineer-mlops","json_url":"https://alion.io/job/dow-jones-senior-machine-learning-engineer-mlops.json","meta":{"generated_at":"2026-10-05T02:49:28Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3883,"day_limit":5000,"remaining_today":1117,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}