Computer Vision Engineer

at  Harnham

THE COMPANY

This Deep-Tech start-up are going through a funding round and growing their company organically by hiring another Computer Vision Engineer to join their existing Computer vision team. Everyone in the company is an engineering expert so you’ll be working with technical people in the industry, as well as working directly with C-level, but they’re now looking for a 2nd SLAM expert. It’s a great opportunity for progression, joining a growing company at this stage of their journey.

SKILLS AND EXPERIENCE

• Degree in a relevant subject - PhD / Master’s level minimum
• Commercial experience using Visual SLAM and Computer Vision techniques
• Experience deploying Computer Vision models onto the cloud is essential
• Tech: Python, C++, AWS

YOUR SKILLS AND EXPERIENCE

• FinTech experience is preferable.
• Advanced knowledge and commercial experience using Azure tech stack, Python, SQL and PowerBI.
• Experience with Dax is preferable.
• Strong communication and stakeholder management skills.
• Experience developing data architecture in PowerBI.

$180,000 – $210,000 + BONUS + BENEFITS

A leading, innovative CPG company is looking for an experienced Director of Advanced Analytics to successfully mine and analyze data, develop predictive models, and deliver data-driven recommendations to improve channel performance and business success in New York City.

YOUR SKILLS:

• Progressive commercial advanced analytics experience in BevAlc, CPG, media, retail, eCommerce, etc.
• Well-versed in core advanced analytics data mining and scripting tools such as Python, R, and SQL
• Proficient in building customized dashboards using BI tools (i.e., Looker, Power BI, Qlik, Tableau)
• Proven commercial experience designing, executing, and analyzing statistical tests (i.e., A/B)
• Strong knowledge of media channels and concepts (i.e., Display, Paid Search, SEM, SEO, Social)
• Proven commercial experience extracting insights from web data (i.e., clickstream, website traffic)
• Well-versed in advanced analytics techniques (i.e., LTV, trend analysis, user journey analysis)
• Comfortable working cross-functionally with/ technical and non-technical teams; presenting to leaders
• Strong verbal/written communication, negotiation, and presentation skills across the business
• Bachelor’s degree in Business, Computer Science, Economics, Engineering, Mathematics, Physics, Psychology, or related field; M.B.A. or M.S. preferred

HYBRID (1-2 DAYS IN/WEEK) – NORTH READING,MA

This project is looking for a Senior Software Engineer with 3-8 years of experience to help build interfaces and simulators to enable robotic automation. You must be skilled in modern object-oriented C++ and have prior experience working close to hardware. The role will be hybrid, 1-2 days a week at their office in North Reading.

QUALIFICATIONS

• 3-5 years of design or architecture (design patterns, reliability, and scaling) of new and existing systems experience.
• 3+ years of programming with C/C++, Java, Rust or similar OO language
• 1+ years of experience creating software which controls robots or other industrial automation equipment.
• Experience in low-level firmware architecture, design and development, preferably for motion control.
• Understanding of Linux kernel and device-driver development
• Knowledge of common bus protocols such as Modbus, CAN bus, Ethernet/IP, EtherCAT, etc.

YOUR SKILLS AND EXPERIENCE:

• MSc or PhD level education in STEM subjects.
• Strong background in architecture and data science with expertise in AI/ML concepts and cloud-based implementations across multiple platforms.
• Proficient in architecting scalable, cost-optimized AI/ML solutions utilizing serverless technologies, container/Kubernetes deployments, and GPU compute infrastructure.
• Hands-on experience with advanced AI architectures, deep learning frameworks, and MLOps capabilities for robust model deployments.
• Skilled in developing and integrating APIs to serve ML models and building end-to-end solutions integrated with enterprise systems.
• Excellent communication and stakeholder management skills, capable of presenting architectural designs, leading technical programs, and contributing to go-to-market activities.

REQUIRED SKILLS AND EXPERIENCE

• Proficiency in Python, including its associated data and machine learning packages such as numpy, pandas, pyspark, matplotlib, scikit-learn, Keras, TensorFlow, and more.
• Experience working with object-oriented programming languages.
• Experience in Forecasting & AB testing.
• Leadership
• Expertise in utilizing SQL for data acquisition and transformation.
• Outstanding quantitative modeling and statistical analysis abilities.

YOUR SKILLS AND EXPERIENCE

The successful Senior Product Manager will have the following skills and requirements;

• Experience working with full ownership over products, including end-to-end management, ideally having delivered products from scratch
• Publishing experience or knowledge desirable but not essential
• Ability to work autonomously
• Excellent communicational skills with strong ability to work cross-functionally
• Good experience developing customer journeys that have translated into an excellent customer experience
• Proven experience in driving acquisiton/retention/monetisation desirable

YOUR SKILLS AND EXPERIENCE

The successful Senior Product Manager will have the following skills and experience:

• Experienced PM from a Gaming or Regulated environment
• Strong background in stakeholder management and working cross-functionally
• Experience with game design and mechanics
• Proven experience improving customer experience

YOUR SKILLS AND EXPERIENCE

The successful Customer Insight Lead will have the following skills and experience:

• Previous experience with the following is desirable: SQL, GA, GTM, Power BI
• Experience leading a team across customer or marketing analytics
• Shown experience visualising data using Power BI (or similar, e.g. Tableau, Looker)
• Excellent communication skills, with strong ability to communicate and engage with stakeholders
• Ability to collaborate and work in a team effectively
• Fantastic stakeholder skills

YOUR SKILLS AND EXPERIENCE

• Strong leadership/direct line management experience
• Background in Customer/Marketing/Digital Analytics
• Commercial experience with SQL, Google Tag Management, Google Analytics and Power BI
• Excellent stakeholder management skills

THE ROLE

As a SLAM Computer Vision Engineer you will:

• Analyse 3D Video Data and build computer vision models using Visual SLAM and traditional computer vision techniques
• Be responsible for working on projects from ideation through to deployment and deploying models onto a cloud environment
• Liaise with non-technical stakeholders including C-level to ensure projects are being delivered efficiently and accurately

THE ROLE

• Deliver a flexible data architecture solution.
• Act as an individual contributor with great freedom.
• Work on data pipelines.
• End-to-end BI reporting.
• Create temp tables and do thought analysis.

THE ROLE:

As Director of Advanced Analytics, you will work cross-functionally and lead the analysis of large amounts of 1st and 3rd-party data to generate key insights that enable senior leadership, thus driving channel optimization and business growth. You will be responsible for:

• Collecting/cleaning/analyzing substantial customer and sales data using SQL and/or BigQuery
• Designing and executing A/B tests and analyzing/interpreting results
• Performing statistical analysis, scripting, and predictive modeling using Python or R
• Delivering data-driven recommendations; building, leading, and managing an analytics team

KEY JOB RESPONSIBILITIES

• Build interfaces and simulators for robotic automation.
• Write code in modern object-oriented C++.
• Develop functionalities to automate the provisioning, operation, and maintenance of extensive robotic fleets.
• Create and refine low-level workflows for precise machine control with utmost reliability.
• Continuously streamline the entire system, encompassing code, workflows, exception handling, and integration with hardware and software components.
• Address internal and field issues through debugging, system monitoring, and troubleshooting.
• Implement automated testing methodologies to ensure consistent product quality.

THE ROLE:

Work end-to-end as a Senior Manager AI Architect Consultant for a reputable Global Consultancy

YOUR DAY-TO-DAY RESPONSIBILITIES WILL INCLUDE:

• You will translate senior client stakeholders’ and architects’ vision into AI/ML/GenAI architectural strategy and implementation roadmap for the Insurance domain.
• You will collaborate with various teams including Enterprise, Application, Data & DevOps Architects, Data Scientists, MLOps & GenAI Engineers, and Business teams to pilot use cases and discuss architectural design.
• You will be tasked to select appropriate technologies considering deployment models and integration with existing tools.
• Support agile execution and operational improvement of AI-powered applications.
• Work closely with security and risk leaders to anticipate and mitigate risks, ensuring ethical AI implementation and regulatory compliance.
• Assist project teams with technical review boards and design authority approvals, ensuring compliance with data privacy, security, and regulatory requirements.
• Develop and maintain client stakeholder relationships and contribute to proposal development.
• Manage diverse teams within an inclusive team culture, fostering recognition for contributions.

ROLE AND RESPONSIBILITIES

• Lead a Team of Data Scientist
• Utilize programming languages such as Python, SQL, and others to implement statistical/Forecasting methods effectively addressing specific business problems.
• Develop robust Forecasting/Personalisation/Search/Recommendation models and perform data-driven analyses to support strategic decision-making processes.
• Innovate and enhance existing methodologies by creating new data sources, conducting rigorous testing, and fine-tuning of Forecasting & Personalisation/Search model parameters.
• Play a pivotal role in designing and developing automated forecasting systems, leveraging cutting-edge technologies.
• Build customer-facing reporting tools with intuitive interfaces, providing comprehensive insights and metrics to track forecast/Personalisation/ Search performance and elucidate variance.
• Collaborate closely with researchers, software developers, and business leaders to define precise product requirements, offer analytical support, and provide valuable feedback.
• Present critical data in a clear and concise format, facilitating a quick understanding of inputs and outputs of forecasting systems and contributing to the continual improvement of their performance.

THE ROLE

As a Senior Product Manager, you will be involved in creating, managing and monitoring products and product features. You will be working closely with the marketing, advice and operations teams to grow their client base whilst measuring the success of the company’s products.

More specifically you can expect to be involved in the following;

• Owning the product roadmap for multiple areas including the onboarding journey, as well as building out new products from scratch
• Integrating products into workflows
• Agile working with the goal of continuously improving development processes in collaboration with the development team
• End-to-end construction, development and monitorisation of products and product features

THE ROLE

The successful Senior Product Manager responsibilities will include:

• Orientation across the overall business, working with marketing, activation, retail, web/app and regulatory teams
• Conceptualisation of games, overseeing the mechanics of the product
• Optimising the UX/UI, improving how users interact with it
• Analyse product performance on a weekly, monthly, quarterly basis

THE ROLE

As a Head of Analytics, you will be looking at customer engagement throughout areas of the business whilst being responsible for identifying channel-specific customer trends.

More specifically, in this role you can expect to be doing the following:

• Benchmarking for how customer data is used and manipulated
• Creation of customer-related KPI’s, setting success metrics for your team
• Hiring, centralising and growing the London team
• Managing a multi-disciplinary team who look after the end-to-end data lifecycle from tagging & tracking, performance measurement, technology evaluation and development, budgeting and resource allocation, marketing, insight and product analytics
• Managing a team using the following skillsets: SQL, GA, GTM, Power BI (previous experience being hands-on desirable)

THE ROLE

• Identify opportunities, provide strategic direction and prioritise projects across teams
• Develop predictive models and forecasting tools, looking at trends and user behaviour
• Build and lead a strong analytics team