Senior AI Software EngineerAt-a-Glance - Senior backend role building the core of an AI operating system - Java, Go and Python across LLM integration, agent orchestration and retrieval infrastructure - AWS, Neo4j, distributed systems at real scale - Platform already live and in daily operational use with major customers - Share options and an engineering culture built around AI toolingAbout the Company My client is a UK technology company building an AI operating and orchestration layer that puts intelligent systems to work inside large, complex organisations where accuracy and accountability really matter. The platform is already live and in daily operational use with major customers. The engineering group is small, senior and unusually fast moving, with AI tooling built into how the team genuinely works rather than bolted on afterwards.The Role This is core platform engineering rather than model research. You will build the services that make AI usable at scale: orchestration layers, retrieval infrastructure, evaluation pipelines and the plumbing that keeps it all reliable in constrained environments. The codebase is modern, the team is senior, and there is very little between deciding something and shipping it. It suits an engineer who wants to build AI infrastructure properly rather than assemble it from tutorials.Key Responsibilities - Design and build core backend services underpinning the AI platform - Build and maintain LLM integration and agent orchestration layers - Develop retrieval infrastructure across graph and vector stores - Own performance, reliability and observability of the services you build - Deploy and operate services on AWS - Build automated evaluation into the delivery pipeline - Review code and raise the technical bar across the team - Mentor mid-level engineers as the team growsWhat You'll NeedEssential: - 5+ years building production backend systems - Strong in Java or Go, plus working Python - Hands-on experience integrating large language models into production software - Solid cloud experience, ideally AWS - Comfortable with distributed systems and microservice architectures - Eligible for UK security clearanceDesirable / Nice to Have: - Neo4j or another graph database in production - Experience with agent frameworks or LLM evaluation toolingWhy Apply? - Build AI infrastructure that is genuinely in operational use - Modern stack with no meaningful legacy drag - Share options as part of the package - AI development tooling expected and actively encouraged - Flexible working pattern - Senior team where technical arguments are decided on merit - Strong progression as the platform and customer base expandNext Steps Send your CV to Brendan McCrory at , or connect with me on LinkedIn if you would prefer an informal chat before anything goes anywhere.

Senior AI Software Engineer

Senior Data Engineer
Fully Remote
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●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Senior Data Engineer role with a data-mature technology business
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Python and cloud-native stack &hellip; modern tooling, minimal legacy baggage
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Salary: 60-80k
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; High-ownership role with real influence over how data infrastructure is built and scaled
About Our Client
Our client is a technology business with a well-established data function that has reached an inflection point &hellip; the foundations are in place, the appetite for more is high, and they need senior engineering talent to take the platform to the next level. They invest in their people, give engineers meaningful problems to solve, and operate with the kind of technical maturity that means you spend your time building things, not firefighting the same problems week after week.
The Role
As Senior Data Engineer, you will take ownership of the design and development of data pipelines, infrastructure, and tooling that underpin analytics, reporting, and machine learning across the business. You will work closely with data scientists, analysts, and product engineering teams to ensure data is clean, well-structured, and delivered reliably at the right cadence. This is not a maintenance role &hellip; you will be making architectural decisions, mentoring colleagues, and shaping how the data platform evolves. If you want to work somewhere your technical judgement is trusted and acted upon, this is worth exploring.
Key Responsibilities
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Design, build, and maintain robust, scalable data pipelines across batch and streaming workloads
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Own data architecture decisions &hellip; modelling, storage, orchestration, and access patterns
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Collaborate with data scientists and analysts to understand their requirements and build infrastructure that serves them reliably
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Implement data quality checks, monitoring, and alerting across the pipeline to catch problems early
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Mentor junior data engineers and set team standards around testing, documentation, and reliability
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Evaluate and introduce tooling and frameworks that improve the speed and quality of data delivery
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Partner with software engineering teams to ensure clean data flows from source systems into the platform
What You'll Need
Essential
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 5+ years of experience in a data engineering role, with a track record in production environments
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Strong Python skills and experience building well-tested, maintainable data pipelines
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Solid experience with a modern orchestration tool &hellip; Apache Airflow, Prefect, Dagster, or equivalent
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Hands-on experience with cloud data infrastructure on AWS, GCP, or Azure
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Familiarity with dbt or a comparable SQL transformation framework
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experience with data warehouse design &hellip; dimensional modelling, star schema, or similar
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Right to work in the UK or Ireland
Nice to have
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experience with streaming technologies &hellip; Apache Kafka, Spark Streaming, or similar
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Background in DataOps practices and CI/CD for data pipelines
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experience working alongside machine learning teams and supporting model deployment pipelines
Why Apply?
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Salary of 60-80k
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Architecture-level ownership from day one
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; A data platform that is mature enough to build on, and ambitious enough to keep the problems interesting
Apply
To find out more or have a confidential conversation about the role, contact Ryan at Ocho People &hellip; ryan@ochopeople.com &hellip; or reach out on LinkedIn.

Senior Data Engineer

Senior Data Scientist
Fully Remote
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Senior individual contributor role with a strong emphasis on applied machine learning
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Python-first data science team &hellip; clean data, real-world impact
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Salary: 80,000 -90,000
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; High-autonomy role with direct influence on product and business outcomes
About Our Client
Our client is a well-established technology business with a mature data function and the ambition to push further into predictive modelling and applied machine learning. The data team has built solid foundations and is now investing in senior talent to raise the ceiling on what they can deliver. They offer technical stability, genuinely interesting problems, and a leadership team that takes data seriously as a commercial differentiator &hellip; a combination harder to find than it sounds.
The Role
As Senior Data Scientist, you will work on a portfolio of high-impact projects spanning predictive modelling, experimentation, and the productionisation of machine learning outputs. You will be embedded with stakeholders across the business &hellip; not siloed in a team that produces reports nobody reads &hellip; and expected to translate complex analytical findings into clear, actionable recommendations. The team values rigour and pragmatism in equal measure. You will have the seniority to push back on poor problem framing, advocate for the right approach, and mentor colleagues who are earlier in their careers.
Key Responsibilities
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Lead the design and development of predictive models and machine learning solutions across priority business domains
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Work with stakeholders to frame problems correctly before committing to a modelling approach
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Own the full data science lifecycle &hellip; from exploratory analysis through to model deployment and monitoring
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Communicate findings clearly to both technical and non-technical audiences, including senior leadership
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Mentor junior data scientists and contribute to team standards around reproducibility and code quality
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Collaborate with data engineers to ensure models are built on clean, reliable, well-structured data
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Evaluate and bring relevant techniques and tooling into the team's toolkit as the field evolves
What You'll Need
Essential
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 5+ years of experience in a data science or machine learning role
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Strong Python skills, including hands-on experience with scikit-learn, pandas, NumPy, and at least one deep learning framework
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Practical experience taking models from development into production and monitoring their performance over time
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Strong communication skills &hellip; able to explain model outputs, limitations, and trade-offs to a non-technical audience
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Solid SQL and experience working with structured datasets at scale
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Right to work in the UK or Ireland
Nice to have
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Domain experience in financial services, insurance, or a similarly data-rich regulated sector
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Familiarity with MLflow, Kubeflow, or comparable model management tooling
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Hands-on experience with cloud ML platforms &hellip; AWS SageMaker, Azure ML, or Google Vertex AI
Why Apply?
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Salary of 80,000 -90,000
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Hybrid working &hellip; with flexibility around on-site days
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Senior role with genuine autonomy &hellip; you will set direction, not just execute it
●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Mature data infrastructure with ambitious plans &hellip; a solid base and real scope to push it further
Apply
Contact Ryan at Ocho People &hellip; ryan@ochopeople.com &hellip; or connect on LinkedIn to learn more about the team and the opportunity.
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Senior AI Software Engineer

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