- Providing the technical lead to an agile team in the design, coding, testing and delivery of applications and services.
- Ensuring that best practices and procedures are applied, ensure application is thoroughly tested, maintainable and scalable.
- Delivering impactful outcomes to problems
- Provide input in establishing program and/or project timelines.
- Innovate and keep abreast of industry trends and competition
- Lead constructive code and design reviews, probing assumptions, highlighting risks, and improving software quality.
- Ensuring observability
- Owning technical decisions and solutions
- Mentoring and technical leadership of less experienced developers.
- C#, Python
- AWS Cloud
- Machine Learning
- Graph Databases or NoSQL
- Service Architectures
- Experience using infrastructure-as-code tools to build and run cloud infrastructure (e.g. Terraform, CloudFormation).
- Experience with NLP and machine learning
- Proven professional experience in software development and database design.
- Extensive experience developing restful or graph API's.
- Analytical and problem-solving skills.
- Must be able to work effectively as part of a project/program team and foster team cooperation.
- Agile enthusiast who can help guide the team and drive incremental improvements.
- Able to coach and mentor.
- Stay current with rapidly changing technology and apply it to business needs.
- Experience with modern technologies like Cloud native, containers and serverless technologies.
- Knowledge of frontend technologies and frameworks
- MLOps knowledge
- 27 days of annual leave
- Healthy half (0.5 day leave every 6 months for wellbeing)
- Leave- study/ volunteer/ reserve forces
- Pension plan (6% employer contribution)
- Private medical insurance – Vitality
- Maternity (100% of basic salary for the first 26 weeks followed by Statutory Maternity Pay)
- Paternity (100% of basic salary for 6 weeks)
- Life cover
- Access to GoodHabitz
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ML Tech Lead - Manchester, United Kingdom - Janes
Description
Job DescriptionJanes enables militaries, governments, and defence companies to make critical decisions. Our expert-driven tradecraft, developed over 120 years, combined with human-machine teaming, delivers assured open-source intelligence across military capabilities and order of battle, equipment, events, countries, companies, and markets.
Linking millions of assured data points, Janes data model creates a framework of interconnected open source defence intelligence. This allows our customers to integrate all relevant data and connections into a single intelligence environment to deliver a more complete and accurate answer. Using Janes, our customers can use their scarce resource more effectively, to get to better decisions with higher confidence, more quickly.
Job purpose
As part of our ongoing evolution to continue to be at the forefront of analysis in the open-source intelligence domain, we are now expanding our Development and Technology team to enhance the next generation of systems that will enable our customers to interconnect millions of assured data points across Janes foundational intelligence delivering the single source of truth.
You will be working an environment which will encompass machine learning and artificial intelligence, as well as taking advantage of the latest cloud offering in which we would encourage and support learning development.
The ML Tech Lead will lead an agile unit within our Development and Technical team, based in our offices in Manchester. You will collaborate with architects, product owners and the wider business to build a scalable, robust, and secure platforms as well as ensuring we do the basics well.
As a leading member of the team, you will be part of a smart, motivated, and cross functional agile unit. Leading the design, code, testing and implementation of solutions to meet our customer's needs. The role is a hands-on role, as well as driving engineering decisions and best practices, you will also be coding so need to be an experienced engineer.
How you will contribute to Janes
Requirements
Given the scale and complexity of what we do, we are looking for people with experience in some of the following:
The ideal skills and experience are
Desirable
Benefits
