{"id":2349990,"url":"https://alion.io/job/permutable-machine-learning-engineer-python-llm-systems","title":"Machine Learning Engineer - Python & LLM Systems","company":{"id":2639686,"name":"Permutable","domain":"permutable.ai","url":"https://alion.io/company/permutable","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","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":85000,"max_usd":228000,"period":"year","method":"role_country_seniority_unknown","sample_n":131},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GitHub Actions","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Pulumi","optional":false},{"name":"Python","optional":false},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-10-12T13:36:41Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-14T19:50:39Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"London, Vauxhall | Hybrid: at least three days in the office each week\nHelp build systems that turn unfolding world events into market intelligence.\nAt Permutable, we build AI systems that analyse global news, market and proprietary data to produce market intelligence and systematic signals for financial institutions.\nOur work connects developments across energy, commodities, economic policy and geopolitics to the assets and markets they influence. Behind it are demanding engineering problems: interpreting unstructured information, evaluating model behaviour and running reliable pipelines as new data arrives.\nWe’re looking for a Machine Learning Engineer with strong Python skills who wants to take models from experimentation into production.\nYou’ll work closely with our founder and engineering team, contribute to technical decisions and see your work become part of the product. As our systems evolve towards real-time processing and more complex AI workflows, you’ll help decide how we build, evaluate and operate them.\nWhat you’ll do\nBuild production LLM pipelines. Develop systems spanning data preparation, model training and fine-tuning, evaluation, deployment and ongoing monitoring.\nImprove model performance. Use Python and our in-house GPU infrastructure to experiment with model architectures and fine-tuning approaches, assessing quality alongside latency and compute requirements.\nMake evaluation part of development. Build repeatable evaluations, investigate failure cases and use the results to guide model and pipeline improvements.\nOrchestrate data and model workflows. Build and maintain Apache Airflow pipelines, with monitoring, retries and clear approaches to failure recovery.\nDeploy and operate AI services. Work with AWS services including Lambda, ECS/EKS, S3 and Redshift, supported by Docker, GitHub Actions and Pulumi.\nTake responsibility for what you build. Follow your work through deployment, monitor its behaviour in production and resolve problems with the team.\nContribute to engineering decisions. Bring ideas, test assumptions and help choose practical approaches to the next technical challenge.\nWhy join Permutable?\nWork on a substantial technical challenge. Help turn large volumes of changing, unstructured information into intelligence financial institutions can use.\nHave a voice in what gets built. Work directly with our founder and engineers, contributing to model choices, evaluation methods and system design.\nDevelop across the full ML lifecycle. Build experience in experimentation, GPU-based training, cloud deployment and production operations.\nSee the outcome of your work. Your models and pipelines will become part of a live product, with responsibility extending beyond the initial deployment.\nWe work together in our Vauxhall office at least three days each week, making time to exchange ideas, solve problems and learn from one another.\nRequirements\nAt least two to three years of professional AI/ML engineering experience, or equivalent experience delivering substantial, relevant systems.\nStrong Python skills and software engineering fundamentals, including maintainable code, testing, debugging and version control.\nHands-on experience building, training or fine-tuning machine learning models, with a clear understanding of how to evaluate their performance.\nExperience taking models or AI pipelines into production and understanding what is needed to keep them working reliably.\nFamiliarity with MLOps practices, including CI/CD, containerisation, automated testing and monitoring.\nA grounding in computer science, engineering, machine learning, mathematics or a related discipline, developed through study or practical experience.\nCuriosity, initiative and the ability to work through unfamiliar problems. You’re comfortable discussing trade-offs, asking questions and taking responsibility for delivery.\nUseful additional experience\nLLMs or NLP, GPU workloads, Apache Airflow, AWS, infrastructure-as-code tools such as Pulumi, or financial-market data.\nYou don’t need experience with every tool in our stack. We’re interested in what you’ve built, how you approach problems and your ability to learn.\nBenefits\nWork on a substantial technical challenge. Help turn large volumes of changing, unstructured information into intelligence financial institutions can use.\nHave a voice in what gets built. Work directly with our founder and engineers, contributing to model choices, evaluation methods and system design.\nDevelop across the full ML lifecycle. Build experience in experimentation, GPU-based training, cloud deployment and production operations.\nSee the outcome of your work. Your models and pipelines will become part of a live product, with responsibility extending beyond the initial deployment.\nJoin a close-knit team with a strong startup culture. We share ideas, help each other solve problems and enjoy spending time together, with regular staff socials, offsites, sports events and office treats.\n Share in what you help build. Equity options give you a stake in Permutable’s long-term growth and success.","description_format":"text","description_chars":5094,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Market Research","Financial Data & Market Intelligence"],"lifecycle":[{"event":"open","at":"2026-10-12T13:36:41Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":1,"expected_fill_days":21,"reasons":["conf:2","win:early"],"computed_at":"2026-10-14T06:34:16Z"},"pay":null,"html_url":"https://alion.io/job/permutable-machine-learning-engineer-python-llm-systems","json_url":"https://alion.io/job/permutable-machine-learning-engineer-python-llm-systems.json","meta":{"generated_at":"2026-10-14T20:49:09Z","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":27722,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"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":2639686},"rest":"https://alion.io/mcp/rest/get_company?id=2639686"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpermutable-machine-learning-engineer-python-llm-systems"},{"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%2Fpermutable-machine-learning-engineer-python-llm-systems"},{"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%2Fpermutable-machine-learning-engineer-python-llm-systems"},{"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/permutable-machine-learning-engineer-python-llm-systems\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpermutable-machine-learning-engineer-python-llm-systems"}]}